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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_has_part', 'codpiece.n.01', '_hypernym', 'flap.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['breeches.n.01', '_has_part', 'codpiece.n.01', '_hypernym', 'flap.n.01', '_hypernym', 'covering.n.02', '_hypernym', 'artifact.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['ictiobus.n.01', '_hypernym', 'fish_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_member_meronym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['ictiobus.n.01', '_hypernym', 'fish_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_member_meronym', 'form.n.09']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['stuttgart.n.01', '<mask>', 'city.n.01', '<mask>', 'city_center.n.01', '_hypernym', 'center.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['stuttgart.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'city_center.n.01', '_hypernym', 'center.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_instance_hypernym', 'politician.n.02', '_derivationally_related_form', 'politics.n.03', '_synset_domain_topic_of', 'politics.n.02', '<mask>', 'government.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['jackson.n.01', '_instance_hypernym', 'politician.n.02', '_derivationally_related_form', 'politics.n.03', '_synset_domain_topic_of', 'politics.n.02', '_synset_domain_topic_of', 'government.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'bird_genus.n.01', '<mask>', '<mask>', '_member_meronym', 'subgenus.n.01', '_synset_domain_topic_of', 'biology.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['elanus.n.01', '_hypernym', 'bird_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'subgenus.n.01', '_synset_domain_topic_of', 'biology.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '<mask>', '<mask>', '_member_meronym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['calocarpum.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_member_meronym', 'breed.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'current.n.02', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['ocean_current.n.01', '_hypernym', 'current.n.02', '_hypernym', 'flow.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['wood_meadowgrass.n.01', '<mask>', 'meadowgrass.n.01', '_hypernym', 'grass.n.01', '_hypernym', 'gramineous_plant.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['wood_meadowgrass.n.01', '_hypernym', 'meadowgrass.n.01', '_hypernym', 'grass.n.01', '_hypernym', 'gramineous_plant.n.01', '_hypernym', 'herb.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'subgenus.n.01', '_synset_domain_topic_of', 'biology.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['vitis.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'subgenus.n.01', '_synset_domain_topic_of', 'biology.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['asteridae.n.01', '_hypernym', '<mask>', '_member_meronym', 'order.n.12', '<mask>', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['asteridae.n.01', '_hypernym', 'class.n.07', '_member_meronym', 'order.n.12', '_hypernym', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', '<mask>', '_hypernym', 'motion.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['swimming_kick.n.01', '_hypernym', 'kick.n.06', '_hypernym', 'motion.n.03']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['uppsala.n.01', '_instance_hypernym', '<mask>', '<mask>', 'medical_center.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['uppsala.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'medical_center.n.01', '_hypernym', 'center.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'executioner.n.01', '_derivationally_related_form', '<mask>', '_derivationally_related_form', 'executioner.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['execution.n.01', '_derivationally_related_form', 'executioner.n.01', '_derivationally_related_form', 'execution.n.01', '_derivationally_related_form', 'executioner.n.01', '_hypernym', 'killer.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['nous.n.01', '<mask>', 'common_sense.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['nous.n.01', '_hypernym', 'common_sense.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['anchovy.n.02', '<mask>', '<mask>', '<mask>', 'teleost_fish.n.01', '_hypernym', 'bony_fish.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['anchovy.n.02', '_hypernym', 'soft-finned_fish.n.01', '_hypernym', 'teleost_fish.n.01', '_hypernym', 'bony_fish.n.01', '_hypernym', 'fish.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['statistic.n.01', '<mask>', '<mask>', '_hypernym', 'information.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['statistic.n.01', '_hypernym', 'datum.n.01', '_hypernym', 'information.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'orchid.n.01', '_hypernym', 'flower.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['phantom_orchid.n.01', '_hypernym', 'orchid.n.01', '_hypernym', 'flower.n.01', '_hypernym', 'angiosperm.n.01', '_hypernym', 'spermatophyte.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['linguist.n.02', '<mask>', 'person.n.01', '_has_part', 'personality.n.01', '_has_part', '<mask>', '_hypernym', 'trait.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['linguist.n.02', '_hypernym', 'person.n.01', '_has_part', 'personality.n.01', '_has_part', 'nature.n.04', '_hypernym', 'trait.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'benign_tumor.n.01', '<mask>', '<mask>', '_hypernym', 'growth.n.06', '_synset_domain_topic_of', 'pathology.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['papilloma.n.01', '_hypernym', 'benign_tumor.n.01', '_hypernym', 'tumor.n.01', '_hypernym', 'growth.n.06', '_synset_domain_topic_of', 'pathology.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['game.n.10', '<mask>', 'occupation.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['game.n.10', '_hypernym', 'occupation.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['tinca.n.01', '_hypernym', 'fish_genus.n.01', '_hypernym', 'genus.n.02', '<mask>', 'species.n.01', '<mask>', 'breed.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['tinca.n.01', '_hypernym', 'fish_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_member_meronym', 'breed.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['ritz.n.01', '_instance_hypernym', 'hotelier.n.01', '<mask>', 'administrator.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['ritz.n.01', '_instance_hypernym', 'hotelier.n.01', '_hypernym', 'administrator.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['collectivism.n.02', '_derivationally_related_form', 'collectivist.n.01', '_derivationally_related_form', 'collectivism.n.02', '_derivationally_related_form', 'collectivist.n.01', '_derivationally_related_form', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['collectivism.n.02', '_derivationally_related_form', 'collectivist.n.01', '_derivationally_related_form', 'collectivism.n.02', '_derivationally_related_form', 'collectivist.n.01', '_derivationally_related_form', 'left.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['foreignness.n.01', '_hypernym', '<mask>', '_hypernym', 'attribute.n.02', '_hypernym', 'abstraction.n.06'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['foreignness.n.01', '_hypernym', 'quality.n.01', '_hypernym', 'attribute.n.02', '_hypernym', 'abstraction.n.06']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'skilled_worker.n.01', '_hypernym', 'worker.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['calligrapher.n.01', '_hypernym', 'skilled_worker.n.01', '_hypernym', 'worker.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_has_part', 'mariehamn.n.01', '_instance_hypernym', '<mask>', '<mask>', 'municipality.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['finland.n.01', '_has_part', 'mariehamn.n.01', '_instance_hypernym', 'town.n.01', '_hypernym', 'municipality.n.01', '_hypernym', 'administrative_district.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['mark.n.08', '<mask>', 'saint.n.01', '<mask>', 'sainthood.n.01', '<mask>', 'saint.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['mark.n.08', '_instance_hypernym', 'saint.n.01', '_derivationally_related_form', 'sainthood.n.01', '_derivationally_related_form', 'saint.n.01', '_hypernym', 'deity.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['marchioness.n.02', '_hypernym', '<mask>', '_hypernym', 'female_aristocrat.n.01', '_hypernym', '<mask>', '_hypernym', 'leader.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['marchioness.n.02', '_hypernym', 'lady.n.03', '_hypernym', 'female_aristocrat.n.01', '_hypernym', 'aristocrat.n.01', '_hypernym', 'leader.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['napoleon.n.01', '_instance_hypernym', 'general.n.01', '_synset_domain_topic_of', '<mask>', '<mask>', 'cadre.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['napoleon.n.01', '_instance_hypernym', 'general.n.01', '_synset_domain_topic_of', 'military.n.01', '_member_meronym', 'cadre.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['acanthus.n.01', '_hypernym', 'herb.n.01', '_has_part', '<mask>', '_hypernym', 'produce.n.01', '_hypernym', 'food.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['acanthus.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01', '_hypernym', 'food.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['wilmington.n.02', '_instance_hypernym', 'city.n.01', '_has_part', 'medical_center.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['wilmington.n.02', '_instance_hypernym', 'city.n.01', '_has_part', 'medical_center.n.01', '_hypernym', 'center.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['cecropiaceae.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['cecropiaceae.n.01', '_hypernym', 'dicot_family.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['street_name.n.02', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['street_name.n.02', '_hypernym', 'name.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', '<mask>', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['cow_parsnip.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['jar.n.01', '_has_part', '<mask>', '_hypernym', 'top.n.09', '_hypernym', 'covering.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['jar.n.01', '_has_part', 'lid.n.02', '_hypernym', 'top.n.09', '_hypernym', 'covering.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['jet.n.02', '<mask>', 'discharge.n.06', '_hypernym', 'flow.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['jet.n.02', '_hypernym', 'discharge.n.06', '_hypernym', 'flow.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['semantic_error.n.01', '_synset_domain_topic_of', 'computer_science.n.01', '_synset_domain_topic_of', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['semantic_error.n.01', '_synset_domain_topic_of', 'computer_science.n.01', '_synset_domain_topic_of', 'computer.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'nerve_cell.n.01', '_has_part', 'axon.n.01', '<mask>', '<mask>', '<mask>', 'end.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['sensory_neuron.n.01', '_hypernym', 'nerve_cell.n.01', '_has_part', 'axon.n.01', '_has_part', 'nerve_ending.n.01', '_hypernym', 'end.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['atonicity.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['atonicity.n.01', '_hypernym', 'condition.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'wrinkle.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

["crow's_foot.n.01", '_hypernym', 'wrinkle.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'table_game.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['billiards.n.01', '_hypernym', 'table_game.n.01', '_hypernym', 'game.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['defense.n.01', '<mask>', 'military_action.n.01', '<mask>', 'military.n.01', '<mask>', 'cadre.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['defense.n.01', '_hypernym', 'military_action.n.01', '_synset_domain_topic_of', 'military.n.01', '_member_meronym', 'cadre.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'wine.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['red_wine.n.01', '_hypernym', 'wine.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['tetrachlorethylene.n.01', '_hypernym', 'vermifuge.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['tetrachlorethylene.n.01', '_hypernym', 'vermifuge.n.01', '_hypernym', 'medicine.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['army_ant.n.01', '<mask>', '<mask>', '<mask>', 'hymenopterous_insect.n.01', '<mask>', 'insect.n.01', '_has_part', 'wing.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['army_ant.n.01', '_hypernym', 'ant.n.01', '_hypernym', 'hymenopterous_insect.n.01', '_hypernym', 'insect.n.01', '_has_part', 'wing.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['corn_earworm.n.01', '<mask>', 'bollworm.n.01', '_hypernym', 'caterpillar.n.01', '_hypernym', 'larva.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['corn_earworm.n.01', '_hypernym', 'bollworm.n.01', '_hypernym', 'caterpillar.n.01', '_hypernym', 'larva.n.01', '_hypernym', 'animal.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['dam.n.01', '_hypernym', 'barrier.n.01', '_hypernym', '<mask>', '<mask>', '<mask>', '_has_part', 'structural_member.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['dam.n.01', '_hypernym', 'barrier.n.01', '_hypernym', 'obstruction.n.01', '_hypernym', 'structure.n.01', '_has_part', 'structural_member.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['amphipoda.n.01', '_hypernym', '<mask>', '<mask>', 'order.n.12', '_synset_domain_topic_of', '<mask>', '_derivationally_related_form', 'biologist.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['amphipoda.n.01', '_hypernym', 'animal_order.n.01', '_hypernym', 'order.n.12', '_synset_domain_topic_of', 'biology.n.01', '_derivationally_related_form', 'biologist.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['kalahari.n.01', '<mask>', 'desert.n.01', '_hypernym', 'tract.n.01', '<mask>', '<mask>', '_hypernym', 'region.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['kalahari.n.01', '_instance_hypernym', 'desert.n.01', '_hypernym', 'tract.n.01', '_hypernym', 'geographical_area.n.01', '_hypernym', 'region.n.03']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['grains_of_paradise.n.01', '_hypernym', '<mask>', '_has_part', '<mask>', '<mask>', 'produce.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['grains_of_paradise.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01', '_hypernym', 'food.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['buckle.n.01', '<mask>', 'fastener.n.02', '_hypernym', 'restraint.n.06', '_hypernym', 'device.n.01', '_hypernym', 'instrumentality.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['buckle.n.01', '_hypernym', 'fastener.n.02', '_hypernym', 'restraint.n.06', '_hypernym', 'device.n.01', '_hypernym', 'instrumentality.n.03']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['natural_elevation.n.01', '<mask>', 'geological_formation.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['natural_elevation.n.01', '_hypernym', 'geological_formation.n.01', '_hypernym', 'object.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', '<mask>', '<mask>', 'connective_tissue.n.01', '_has_part', 'matrix.n.04', '_hypernym', 'body_substance.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['temporal_bone.n.01', '_hypernym', 'bone.n.01', '_hypernym', 'connective_tissue.n.01', '_has_part', 'matrix.n.04', '_hypernym', 'body_substance.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'quality.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['mobility.n.01', '_hypernym', 'quality.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'position.n.06'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['hot_seat.n.02', '_hypernym', 'position.n.06']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'walnut.n.03', '<mask>', 'nut_tree.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['black_walnut.n.01', '_hypernym', 'walnut.n.03', '_hypernym', 'nut_tree.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['hydrilla.n.01', '_hypernym', 'aquatic_plant.n.01', '<mask>', 'pad.n.02', '_hypernym', 'leaf.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['hydrilla.n.01', '_hypernym', 'aquatic_plant.n.01', '_has_part', 'pad.n.02', '_hypernym', 'leaf.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'psychology.n.01', '_derivationally_related_form', '<mask>', '<mask>', 'psychology.n.01', '_hypernym', 'science.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['anima.n.01', '_synset_domain_topic_of', 'psychology.n.01', '_derivationally_related_form', 'psychologist.n.01', '_derivationally_related_form', 'psychology.n.01', '_hypernym', 'science.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'river.n.01', '_hypernym', 'stream.n.01', '_has_part', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['potomac.n.01', '_instance_hypernym', 'river.n.01', '_hypernym', 'stream.n.01', '_has_part', 'midstream.n.01', '_hypernym', 'center.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'penis.n.01', '_hypernym', '<mask>', '<mask>', 'organ.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['cock.n.01', '_hypernym', 'penis.n.01', '_hypernym', 'erectile_organ.n.01', '_hypernym', 'organ.n.01', '_hypernym', 'body_part.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['mantra.n.02', '<mask>', 'buddhism.n.02', '<mask>', 'religion.n.01', '_derivationally_related_form', 'religionist.n.01', '_hypernym', 'religious_person.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['mantra.n.02', '_synset_domain_topic_of', 'buddhism.n.02', '_hypernym', 'religion.n.01', '_derivationally_related_form', 'religionist.n.01', '_hypernym', 'religious_person.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['cynoglossum.n.01', '<mask>', 'plant_genus.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['cynoglossum.n.01', '_hypernym', 'plant_genus.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'defense.n.11'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['entrapment.n.01', '_hypernym', 'defense.n.11']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['fraulein.n.01', '<mask>', '<mask>', '_hypernym', '<mask>', '<mask>', 'germanic.n.01', '_hypernym', 'indo-european.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['fraulein.n.01', '_synset_domain_topic_of', 'german.n.02', '_hypernym', 'west_germanic.n.01', '_hypernym', 'germanic.n.01', '_hypernym', 'indo-european.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['arch.n.04', '_has_part', 'keystone.n.02', '_hypernym', 'building_block.n.02', '<mask>', 'building_material.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['arch.n.04', '_has_part', 'keystone.n.02', '_hypernym', 'building_block.n.02', '_hypernym', 'building_material.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['anchor.n.03', '_hypernym', 'television_reporter.n.01', '_hypernym', 'reporter.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['anchor.n.03', '_hypernym', 'television_reporter.n.01', '_hypernym', 'reporter.n.01', '_hypernym', 'communicator.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['pius_xii.n.01', '_instance_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['pius_xii.n.01', '_instance_hypernym', 'pope.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['brahmaputra.n.01', '_instance_hypernym', 'river.n.01', '<mask>', '<mask>', '<mask>', 'body_of_water.n.01', '_synset_domain_topic_of', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['brahmaputra.n.01', '_instance_hypernym', 'river.n.01', '_has_part', 'estuary.n.01', '_hypernym', 'body_of_water.n.01', '_synset_domain_topic_of', 'lake.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'reptile_genus.n.01', '_hypernym', 'genus.n.02', '_hypernym', 'taxonomic_group.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['amblyrhynchus.n.01', '_hypernym', 'reptile_genus.n.01', '_hypernym', 'genus.n.02', '_hypernym', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['investment_company.n.01', '<mask>', '<mask>', '_hypernym', '<mask>', '_hypernym', 'institution.n.01', '_hypernym', 'organization.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['investment_company.n.01', '_hypernym', 'nondepository_financial_institution.n.01', '_hypernym', 'financial_institution.n.01', '_hypernym', 'institution.n.01', '_hypernym', 'organization.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_member_meronym', '<mask>', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['ocimum.n.01', '_member_meronym', 'basil.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['platonism.n.01', '_synset_domain_topic_of', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['platonism.n.01', '_synset_domain_topic_of', 'philosophy.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '<mask>', 'biology.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['myriophyllum.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_synset_domain_topic_of', 'biology.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['rawalpindi.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'medical_center.n.01', '<mask>', 'center.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['rawalpindi.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'medical_center.n.01', '_hypernym', 'center.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['inheritance.n.02', '_synset_domain_topic_of', 'law.n.01', '<mask>', 'judge.n.01', '<mask>', 'judgeship.n.01', '<mask>', 'position.n.06'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['inheritance.n.02', '_synset_domain_topic_of', 'law.n.01', '_derivationally_related_form', 'judge.n.01', '_derivationally_related_form', 'judgeship.n.01', '_hypernym', 'position.n.06']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['bawdry.n.01', '<mask>', 'obscenity.n.02', '<mask>', '<mask>', '_hypernym', 'drivel.n.01', '<mask>', 'message.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['bawdry.n.01', '_hypernym', 'obscenity.n.02', '_member_of_domain_usage', 'chickenshit.n.01', '_hypernym', 'drivel.n.01', '_hypernym', 'message.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['particle.n.02', '<mask>', 'body.n.04', '_hypernym', '<mask>', '_hypernym', 'whole.n.02', '_derivationally_related_form', 'emergence.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['particle.n.02', '_hypernym', 'body.n.04', '_hypernym', 'natural_object.n.01', '_hypernym', 'whole.n.02', '_derivationally_related_form', 'emergence.n.03']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'person.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['appointee.n.02', '_hypernym', 'person.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['cult.n.03', '_hypernym', 'religion.n.02', '<mask>', 'religionist.n.01', '_hypernym', 'religious_person.n.01', '<mask>', 'person.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['cult.n.03', '_hypernym', 'religion.n.02', '_derivationally_related_form', 'religionist.n.01', '_hypernym', 'religious_person.n.01', '_hypernym', 'person.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['sixties.n.02', '_hypernym', '<mask>', '_hypernym', 'time_period.n.01', '_hypernym', 'fundamental_quantity.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['sixties.n.02', '_hypernym', 'time_of_life.n.01', '_hypernym', 'time_period.n.01', '_hypernym', 'fundamental_quantity.n.01', '_hypernym', 'measure.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_member_meronym', 'ichthyosaur.n.01', '_hypernym', '<mask>', '_hypernym', 'diapsid.n.01', '_hypernym', 'reptile.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['ichthyosauria.n.01', '_member_meronym', 'ichthyosaur.n.01', '_hypernym', 'archosaur.n.01', '_hypernym', 'diapsid.n.01', '_hypernym', 'reptile.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'plug.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['bung.n.01', '_hypernym', 'plug.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['comic_strip.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['comic_strip.n.01', '_hypernym', 'cartoon.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', '<mask>', '_has_part', 'financial_center.n.01', '_hypernym', 'center.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['haiphong.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'financial_center.n.01', '_hypernym', 'center.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['nebuchadnezzar.n.01', '_instance_hypernym', 'king.n.01', '<mask>', '<mask>', '_hypernym', 'domain.n.02', '_hypernym', 'region.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['nebuchadnezzar.n.01', '_instance_hypernym', 'king.n.01', '_derivationally_related_form', 'kingdom.n.03', '_hypernym', 'domain.n.02', '_hypernym', 'region.n.03']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['stone_curlew.n.01', '_hypernym', 'shorebird.n.01', '<mask>', 'wading_bird.n.01', '_hypernym', 'aquatic_bird.n.01', '<mask>', 'bird.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['stone_curlew.n.01', '_hypernym', 'shorebird.n.01', '_hypernym', 'wading_bird.n.01', '_hypernym', 'aquatic_bird.n.01', '_hypernym', 'bird.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'system.n.06', '_hypernym', 'body_part.n.01', '_hypernym', 'part.n.03', '_hypernym', 'thing.n.12'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['digestive_system.n.01', '_hypernym', 'system.n.06', '_hypernym', 'body_part.n.01', '_hypernym', 'part.n.03', '_hypernym', 'thing.n.12']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'shellfish.n.01', '_hypernym', 'seafood.n.01', '_hypernym', 'food.n.02', '_hypernym', 'solid.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['crab.n.05', '_hypernym', 'shellfish.n.01', '_hypernym', 'seafood.n.01', '_hypernym', 'food.n.02', '_hypernym', 'solid.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['psilotaceae.n.01', '_hypernym', '<mask>', '_hypernym', 'family.n.06', '_member_meronym', 'rhabdoviridae.n.01', '_hypernym', 'arbovirus.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['psilotaceae.n.01', '_hypernym', 'fern_family.n.01', '_hypernym', 'family.n.06', '_member_meronym', 'rhabdoviridae.n.01', '_hypernym', 'arbovirus.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_synset_domain_topic_of', 'medicine.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['curvature.n.01', '_synset_domain_topic_of', 'medicine.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['heavier-than-air_craft.n.01', '_hypernym', 'aircraft.n.01', '_has_part', '<mask>', '_hypernym', 'compartment.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['heavier-than-air_craft.n.01', '_hypernym', 'aircraft.n.01', '_has_part', 'cockpit.n.01', '_hypernym', 'compartment.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['animal_product.n.01', '_hypernym', 'animal_material.n.01', '<mask>', 'material.n.01', '_hypernym', 'substance.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['animal_product.n.01', '_hypernym', 'animal_material.n.01', '_hypernym', 'material.n.01', '_hypernym', 'substance.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['madia.n.01', '_member_meronym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['madia.n.01', '_member_meronym', 'tarweed.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['sign.n.06', '<mask>', 'evidence.n.01', '<mask>', 'information.n.02', '_hypernym', 'cognition.n.01', '_hypernym', 'psychological_feature.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['sign.n.06', '_hypernym', 'evidence.n.01', '_hypernym', 'information.n.02', '_hypernym', 'cognition.n.01', '_hypernym', 'psychological_feature.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'message.n.02', '_hypernym', 'communication.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['commitment.n.04', '_hypernym', 'message.n.02', '_hypernym', 'communication.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['polygonatum.n.01', '_member_meronym', "solomon's-seal.n.01", '<mask>', 'liliaceous_plant.n.01', '_hypernym', 'bulbous_plant.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['polygonatum.n.01', '_member_meronym', "solomon's-seal.n.01", '_hypernym', 'liliaceous_plant.n.01', '_hypernym', 'bulbous_plant.n.01', '_hypernym', 'vascular_plant.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'second.n.01', '_has_part', '<mask>', '<mask>', 'time_unit.n.01', '_hypernym', 'measure.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['minute.n.01', '_has_part', 'second.n.01', '_has_part', 'millisecond.n.01', '_hypernym', 'time_unit.n.01', '_hypernym', 'measure.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'middle_ages.n.01', '_instance_hypernym', 'historic_period.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['quadrivium.n.01', '_synset_domain_topic_of', 'middle_ages.n.01', '_instance_hypernym', 'historic_period.n.01', '_hypernym', 'era.n.01', '_hypernym', 'time_period.n.01']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'exercise.n.01', '_hypernym', 'effort.n.02', '_hypernym', 'labor.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['cardiopulmonary_exercise.n.01', '_hypernym', 'exercise.n.01', '_hypernym', 'effort.n.02', '_hypernym', 'labor.n.02']

<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['legal_duty.n.01', '_synset_domain_topic_of', 'law.n.01', '<mask>', 'collection.n.01', '<mask>', 'group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>

['legal_duty.n.01', '_synset_domain_topic_of', 'law.n.01', '_hypernym', 'collection.n.01', '_hypernym', 'group.n.01']