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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. ['automobile_horn.n.01', '<mask>', 'alarm.n.02', '_hypernym', 'device.n.01', '_hypernym', 'instrumentality.n.03', '_hypernym', 'artifact.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['automobile_horn.n.01', '_hypernym', 'alarm.n.02', '_hypernym', 'device.n.01', '_hypernym', 'instrumentality.n.03', '_hypernym', 'artifact.n.01']
657,601
<|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. ['cubeb.n.02', '<mask>', 'cubeb.n.01', '_hypernym', 'fruit.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['cubeb.n.02', '_has_part', 'cubeb.n.01', '_hypernym', 'fruit.n.01']
657,602
<|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>', 'electronic_equipment.n.01', '_hypernym', 'equipment.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['telephone.n.01', '_hypernym', 'electronic_equipment.n.01', '_hypernym', 'equipment.n.01']
657,603
<|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', 'hat.n.01', '_has_part', 'crown.n.05', '_hypernym', 'vertex.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['pith_hat.n.01', '_hypernym', 'sunhat.n.01', '_hypernym', 'hat.n.01', '_has_part', 'crown.n.05', '_hypernym', 'vertex.n.02']
657,604
<|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. ['antelope.n.01', '<mask>', '<mask>', '_hypernym', 'ruminant.n.01', '_has_part', 'rumen.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['antelope.n.01', '_hypernym', 'bovid.n.01', '_hypernym', 'ruminant.n.01', '_has_part', 'rumen.n.01']
657,605
<|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', 'edible_fruit.n.01', '<mask>', 'peel.n.02', '<mask>', 'rind.n.01', '_hypernym', 'material.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['avocado.n.01', '_hypernym', 'edible_fruit.n.01', '_has_part', 'peel.n.02', '_hypernym', 'rind.n.01', '_hypernym', 'material.n.01']
657,606
<|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. ['heterotheca.n.01', '<mask>', 'asterid_dicot_genus.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['heterotheca.n.01', '_hypernym', 'asterid_dicot_genus.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01']
657,607
<|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. ['preceptor.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['preceptor.n.01', '_hypernym', 'teacher.n.01']
657,608
<|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. ['subordinate_clause.n.01', '<mask>', 'clause.n.01', '_hypernym', 'construction.n.02', '_hypernym', 'constituent.n.04', '_hypernym', 'syntagma.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['subordinate_clause.n.01', '_hypernym', 'clause.n.01', '_hypernym', 'construction.n.02', '_hypernym', 'constituent.n.04', '_hypernym', 'syntagma.n.01']
657,609
<|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. ['conyza.n.01', '<mask>', '<mask>', '_hypernym', 'weed.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['conyza.n.01', '_member_meronym', 'horseweed.n.02', '_hypernym', 'weed.n.01']
657,610
<|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. ['skeg.n.01', '_hypernym', 'brace.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['skeg.n.01', '_hypernym', 'brace.n.01', '_hypernym', 'strengthener.n.01']
657,611
<|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. ['isoetales.n.01', '_member_meronym', 'isoetaceae.n.01', '_member_meronym', '<mask>', '<mask>', 'fern_genus.n.01', '<mask>', 'genus.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['isoetales.n.01', '_member_meronym', 'isoetaceae.n.01', '_member_meronym', 'isoetes.n.01', '_hypernym', 'fern_genus.n.01', '_hypernym', 'genus.n.02']
657,612
<|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', 'antelope.n.01', '_hypernym', '<mask>', '_hypernym', 'ruminant.n.01', '_has_part', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['bongo.n.02', '_hypernym', 'antelope.n.01', '_hypernym', 'bovid.n.01', '_hypernym', 'ruminant.n.01', '_has_part', 'abomasum.n.01']
657,613
<|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. ['peace.n.05', '_hypernym', 'treaty.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['peace.n.05', '_hypernym', 'treaty.n.01', '_hypernym', 'written_agreement.n.01', '_hypernym', 'agreement.n.01']
657,614
<|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. ['storage_space.n.01', '<mask>', 'area.n.05', '_hypernym', 'structure.n.01', '_hypernym', 'artifact.n.01', '_hypernym', 'whole.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['storage_space.n.01', '_hypernym', 'area.n.05', '_hypernym', 'structure.n.01', '_hypernym', 'artifact.n.01', '_hypernym', 'whole.n.02']
657,615
<|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. ['industrial_union.n.01', '_hypernym', 'union.n.01', '_derivationally_related_form', '<mask>', '_derivationally_related_form', 'union.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['industrial_union.n.01', '_hypernym', 'union.n.01', '_derivationally_related_form', 'trade_unionist.n.01', '_derivationally_related_form', 'union.n.01']
657,616
<|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. ['vandalism.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['vandalism.n.01', '_hypernym', 'destruction.n.01']
657,617
<|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. ['zapodidae.n.01', '_hypernym', 'mammal_family.n.01', '_hypernym', '<mask>', '_member_meronym', '<mask>', '_hypernym', 'arbovirus.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['zapodidae.n.01', '_hypernym', 'mammal_family.n.01', '_hypernym', 'family.n.06', '_member_meronym', 'arenaviridae.n.01', '_hypernym', 'arbovirus.n.01']
657,618
<|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', 'covering.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['slough.n.04', '_hypernym', 'covering.n.01']
657,619
<|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. ['myrmeleon.n.01', '_member_meronym', '<mask>', '_hypernym', 'neuropteron.n.01', '_hypernym', 'insect.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['myrmeleon.n.01', '_member_meronym', 'ant_lion.n.02', '_hypernym', 'neuropteron.n.01', '_hypernym', 'insect.n.01', '_hypernym', 'arthropod.n.01']
657,620
<|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', 'chemistry.n.01', '_hypernym', 'natural_science.n.01', '_hypernym', 'science.n.01', '_derivationally_related_form', 'scientist.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['organic_chemistry.n.01', '_synset_domain_topic_of', 'chemistry.n.01', '_hypernym', 'natural_science.n.01', '_hypernym', 'science.n.01', '_derivationally_related_form', 'scientist.n.01']
657,621
<|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. ['needleworker.n.01', '_hypernym', 'maker.n.01', '_hypernym', 'creator.n.02', '_hypernym', '<mask>', '_has_part', 'personality.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['needleworker.n.01', '_hypernym', 'maker.n.01', '_hypernym', 'creator.n.02', '_hypernym', 'person.n.01', '_has_part', 'personality.n.01']
657,622
<|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. ['genus_liparis.n.01', '_hypernym', 'monocot_genus.n.01', '<mask>', 'genus.n.02', '_member_meronym', 'species.n.01', '_member_meronym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['genus_liparis.n.01', '_hypernym', 'monocot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_member_meronym', 'breed.n.01']
657,623
<|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. ['good_health.n.01', '_hypernym', 'physical_condition.n.01', '<mask>', 'condition.n.01', '_hypernym', '<mask>', '<mask>', 'attribute.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['good_health.n.01', '_hypernym', 'physical_condition.n.01', '_hypernym', 'condition.n.01', '_hypernym', 'state.n.02', '_hypernym', 'attribute.n.02']
657,624
<|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. ['hare_krishna.n.02', '_hypernym', 'sect.n.01', '_hypernym', '<mask>', '_derivationally_related_form', 'religionist.n.01', '_hypernym', 'religious_person.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['hare_krishna.n.02', '_hypernym', 'sect.n.01', '_hypernym', 'religion.n.02', '_derivationally_related_form', 'religionist.n.01', '_hypernym', 'religious_person.n.01']
657,625
<|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. ['genus_australopithecus.n.01', '_member_meronym', 'australopithecus_africanus.n.01', '<mask>', 'coalescence.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['genus_australopithecus.n.01', '_member_meronym', 'australopithecus_africanus.n.01', '_derivationally_related_form', 'coalescence.n.01']
657,626
<|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>', 'major_tranquilizer.n.01', '_hypernym', 'tranquilizer.n.01', '<mask>', 'sedative-hypnotic.n.01', '_hypernym', 'sedative.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['molindone.n.01', '_hypernym', 'major_tranquilizer.n.01', '_hypernym', 'tranquilizer.n.01', '_hypernym', 'sedative-hypnotic.n.01', '_hypernym', 'sedative.n.01']
657,627
<|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. ['humor.n.04', '_hypernym', 'quality.n.01', '_hypernym', 'attribute.n.02', '<mask>', 'abstraction.n.06'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['humor.n.04', '_hypernym', 'quality.n.01', '_hypernym', 'attribute.n.02', '_hypernym', 'abstraction.n.06']
657,628
<|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. ['hyperhidrosis.n.01', '<mask>', 'perspiration.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['hyperhidrosis.n.01', '_hypernym', 'perspiration.n.02']
657,629
<|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. ['sergeant.n.01', '<mask>', 'noncommissioned_officer.n.01', '_synset_domain_topic_of', '<mask>', '<mask>', 'cadre.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['sergeant.n.01', '_hypernym', 'noncommissioned_officer.n.01', '_synset_domain_topic_of', 'military.n.01', '_member_meronym', 'cadre.n.02']
657,630
<|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', 'aquatic_plant.n.01', '_has_part', '<mask>', '_hypernym', 'leaf.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['limnobium.n.01', '_member_meronym', 'american_frogbit.n.01', '_hypernym', 'aquatic_plant.n.01', '_has_part', 'pad.n.02', '_hypernym', 'leaf.n.01']
657,631
<|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. ['lacebark.n.01', '_hypernym', 'tree.n.01', '<mask>', 'stump.n.01', '_hypernym', 'plant_part.n.01', '_hypernym', 'natural_object.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['lacebark.n.01', '_hypernym', 'tree.n.01', '_has_part', 'stump.n.01', '_hypernym', 'plant_part.n.01', '_hypernym', 'natural_object.n.01']
657,632
<|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>', 'antibiotic.n.01', '_hypernym', 'antibacterial.n.01', '<mask>', 'medicine.n.02', '<mask>', 'drug.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['erythromycin.n.01', '_hypernym', 'antibiotic.n.01', '_hypernym', 'antibacterial.n.01', '_hypernym', 'medicine.n.02', '_hypernym', 'drug.n.01']
657,633
<|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. ['parthenocissus.n.01', '<mask>', '<mask>', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '<mask>', 'form.n.09'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['parthenocissus.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_member_meronym', 'form.n.09']
657,634
<|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>', '_derivationally_related_form', '<mask>', '<mask>', 'ent_man.n.01', '_derivationally_related_form', '<mask>', '_derivationally_related_form', 'ent_man.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['ent_man.n.01', '_derivationally_related_form', 'rhinolaryngology.n.01', '_derivationally_related_form', 'ent_man.n.01', '_derivationally_related_form', 'rhinolaryngology.n.01', '_derivationally_related_form', 'ent_man.n.01']
657,635
<|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. ['sphecoid_wasp.n.01', '<mask>', 'wasp.n.02', '_hypernym', 'hymenopterous_insect.n.01', '_hypernym', '<mask>', '_has_part', 'wing.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['sphecoid_wasp.n.01', '_hypernym', 'wasp.n.02', '_hypernym', 'hymenopterous_insect.n.01', '_hypernym', 'insect.n.01', '_has_part', 'wing.n.01']
657,636
<|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. ['cichlidae.n.01', '_member_meronym', 'cichlid.n.01', '_hypernym', 'percoid_fish.n.01', '<mask>', 'spiny-finned_fish.n.01', '<mask>', 'teleost_fish.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['cichlidae.n.01', '_member_meronym', 'cichlid.n.01', '_hypernym', 'percoid_fish.n.01', '_hypernym', 'spiny-finned_fish.n.01', '_hypernym', 'teleost_fish.n.01']
657,637
<|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>', 'geological_formation.n.01', '<mask>', 'geology.n.01', '_hypernym', 'earth_science.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['beach.n.01', '_hypernym', 'geological_formation.n.01', '_synset_domain_topic_of', 'geology.n.01', '_hypernym', 'earth_science.n.01']
657,638
<|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. ['june_beetle.n.01', '<mask>', '<mask>', '<mask>', '<mask>', '_hypernym', 'beetle.n.01', '_hypernym', 'insect.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['june_beetle.n.01', '_hypernym', 'scarabaeid_beetle.n.01', '_hypernym', 'lamellicorn_beetle.n.01', '_hypernym', 'beetle.n.01', '_hypernym', 'insect.n.01']
657,639
<|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. ['stall.n.05', '_hypernym', 'seating.n.01', '_member_meronym', 'seat.n.03', '<mask>', 'furniture.n.01', '_hypernym', 'furnishing.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['stall.n.05', '_hypernym', 'seating.n.01', '_member_meronym', 'seat.n.03', '_hypernym', 'furniture.n.01', '_hypernym', 'furnishing.n.02']
657,640
<|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', 'employee.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['staff_member.n.01', '_hypernym', 'employee.n.01']
657,641
<|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. ['helminthostachys.n.01', '_hypernym', 'fern_genus.n.01', '_hypernym', '<mask>', '_hypernym', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['helminthostachys.n.01', '_hypernym', 'fern_genus.n.01', '_hypernym', 'genus.n.02', '_hypernym', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01']
657,642
<|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. ['indignation.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['indignation.n.01', '_hypernym', 'anger.n.01']
657,643
<|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', '_has_part', 'human_body.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['enrollee.n.01', '_hypernym', 'person.n.01', '_has_part', 'human_body.n.01']
657,644
<|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. ['department_of_the_treasury.n.01', '_has_part', '<mask>', '<mask>', 'agency.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['department_of_the_treasury.n.01', '_has_part', 'financial_management_service.n.01', '_hypernym', 'agency.n.01']
657,645
<|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. ['morse.n.02', '_instance_hypernym', 'painter.n.01', '<mask>', 'artist.n.01', '_derivationally_related_form', 'art.n.02', '_hypernym', 'creation.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['morse.n.02', '_instance_hypernym', 'painter.n.01', '_hypernym', 'artist.n.01', '_derivationally_related_form', 'art.n.02', '_hypernym', 'creation.n.01']
657,646
<|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', 'operation.n.06'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['resection.n.01', '_hypernym', 'operation.n.06']
657,647
<|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', 'scombroid.n.01', '_hypernym', 'percoid_fish.n.01', '_hypernym', 'spiny-finned_fish.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['yellowfin.n.01', '_hypernym', 'tuna.n.03', '_hypernym', 'scombroid.n.01', '_hypernym', 'percoid_fish.n.01', '_hypernym', 'spiny-finned_fish.n.01']
657,648
<|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. ['percept.n.01', '_has_part', '<mask>', '<mask>', 'structure.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['percept.n.01', '_has_part', 'form.n.03', '_hypernym', 'structure.n.03']
657,649
<|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. ['military_reserve.n.01', '_synset_domain_topic_of', 'military.n.01', '<mask>', 'force.n.04'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['military_reserve.n.01', '_synset_domain_topic_of', 'military.n.01', '_hypernym', 'force.n.04']
657,650
<|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', 'highway.n.01', '<mask>', 'road.n.01', '_has_part', 'roadbed.n.01', '_hypernym', 'bed.n.08'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['expressway.n.01', '_hypernym', 'highway.n.01', '_hypernym', 'road.n.01', '_has_part', 'roadbed.n.01', '_hypernym', 'bed.n.08']
657,651
<|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. ['shopper.n.01', '<mask>', '<mask>', '_hypernym', '<mask>', '_hypernym', 'user.n.01', '<mask>', 'person.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['shopper.n.01', '_hypernym', 'customer.n.01', '_hypernym', 'consumer.n.01', '_hypernym', 'user.n.01', '_hypernym', 'person.n.01']
657,652
<|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', '<mask>', '_hypernym', 'work_unit.n.01', '<mask>', '<mask>', '_hypernym', 'definite_quantity.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['therm.n.01', '_has_part', 'british_thermal_unit.n.01', '_hypernym', 'work_unit.n.01', '_hypernym', 'unit_of_measurement.n.01', '_hypernym', 'definite_quantity.n.01']
657,653
<|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>', 'computer_circuit.n.01', '<mask>', 'circuit.n.01', '_has_part', 'relay.n.05', '<mask>', 'electromagnet.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['integrated_circuit.n.01', '_hypernym', 'computer_circuit.n.01', '_hypernym', 'circuit.n.01', '_has_part', 'relay.n.05', '_has_part', 'electromagnet.n.01']
657,654
<|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. ['complex_sentence.n.01', '<mask>', 'subordinate_clause.n.01', '<mask>', 'clause.n.01', '_hypernym', 'construction.n.02', '<mask>', 'constituent.n.04'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['complex_sentence.n.01', '_has_part', 'subordinate_clause.n.01', '_hypernym', 'clause.n.01', '_hypernym', 'construction.n.02', '_hypernym', 'constituent.n.04']
657,655
<|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>', 'french_region.n.01', '_hypernym', 'geographical_area.n.01', '_hypernym', 'region.n.03', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['bretagne.n.01', '_instance_hypernym', 'french_region.n.01', '_hypernym', 'geographical_area.n.01', '_hypernym', 'region.n.03', '_hypernym', 'location.n.01']
657,656
<|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', 'saintpaulia.n.01', '_hypernym', '<mask>', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['gesneriaceae.n.01', '_member_meronym', 'saintpaulia.n.01', '_hypernym', 'asterid_dicot_genus.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02']
657,657
<|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. ['penicillin.n.01', '_hypernym', '<mask>', '<mask>', 'antibacterial.n.01', '<mask>', 'medicine.n.02', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['penicillin.n.01', '_hypernym', 'antibiotic.n.01', '_hypernym', 'antibacterial.n.01', '_hypernym', 'medicine.n.02', '_hypernym', 'drug.n.01']
657,658
<|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. ['qing.n.01', '_hypernym', 'dynasty.n.01', '_hypernym', 'family.n.04', '_hypernym', 'lineage.n.01', '<mask>', 'genealogy.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['qing.n.01', '_hypernym', 'dynasty.n.01', '_hypernym', 'family.n.04', '_hypernym', 'lineage.n.01', '_hypernym', 'genealogy.n.01']
657,659
<|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. ['fallopian_tube.n.01', '_hypernym', '<mask>', '<mask>', 'tube.n.04'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['fallopian_tube.n.01', '_hypernym', 'salpinx.n.01', '_hypernym', 'tube.n.04']
657,660
<|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. ['diabetes_mellitus.n.01', '_hypernym', 'diabetes.n.01', '_hypernym', 'polygenic_disorder.n.01', '_hypernym', 'genetic_disease.n.01', '<mask>', 'disease.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['diabetes_mellitus.n.01', '_hypernym', 'diabetes.n.01', '_hypernym', 'polygenic_disorder.n.01', '_hypernym', 'genetic_disease.n.01', '_hypernym', 'disease.n.01']
657,661
<|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. ['armillaria.n.01', '_hypernym', 'fungus_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', '<mask>', '_hypernym', 'taxonomic_group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['armillaria.n.01', '_hypernym', 'fungus_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'subgenus.n.01', '_hypernym', 'taxonomic_group.n.01']
657,662
<|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. ['cruiser.n.01', '_hypernym', '<mask>', '_derivationally_related_form', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['cruiser.n.01', '_hypernym', 'car.n.01', '_derivationally_related_form', 'machinist.n.01']
657,663
<|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. ['religion.n.01', '_derivationally_related_form', 'religionist.n.01', '<mask>', '<mask>', '_derivationally_related_form', 'religionist.n.01', '_hypernym', 'religious_person.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['religion.n.01', '_derivationally_related_form', 'religionist.n.01', '_derivationally_related_form', 'religion.n.02', '_derivationally_related_form', 'religionist.n.01', '_hypernym', 'religious_person.n.01']
657,664
<|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', 'judgment.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['confession_of_judgment.n.01', '_hypernym', 'judgment.n.03']
657,665
<|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. ['bidder.n.02', '_hypernym', '<mask>', '_hypernym', 'card_player.n.01', '_hypernym', 'player.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['bidder.n.02', '_hypernym', 'bridge_player.n.01', '_hypernym', 'card_player.n.01', '_hypernym', 'player.n.01']
657,666
<|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', 'crewman.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['aircrewman.n.01', '_hypernym', 'crewman.n.02']
657,667
<|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. ['carolingian.n.01', '_hypernym', 'sovereign.n.01', '<mask>', 'ruler.n.01', '<mask>', 'person.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['carolingian.n.01', '_hypernym', 'sovereign.n.01', '_hypernym', 'ruler.n.01', '_hypernym', 'person.n.01']
657,668
<|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. ['opisthognathidae.n.01', '_hypernym', 'fish_family.n.01', '<mask>', 'family.n.06', '_member_meronym', 'arenaviridae.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['opisthognathidae.n.01', '_hypernym', 'fish_family.n.01', '_hypernym', 'family.n.06', '_member_meronym', 'arenaviridae.n.01', '_hypernym', 'arbovirus.n.01']
657,669
<|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. ['desert_plant.n.01', '_hypernym', '<mask>', '<mask>', 'vascular_system.n.01', '_has_part', 'vascular_tissue.n.01', '_hypernym', 'plant_tissue.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['desert_plant.n.01', '_hypernym', 'vascular_plant.n.01', '_has_part', 'vascular_system.n.01', '_has_part', 'vascular_tissue.n.01', '_hypernym', 'plant_tissue.n.01']
657,670
<|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. ['lp.n.01', '<mask>', 'phonograph_record.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['lp.n.01', '_hypernym', 'phonograph_record.n.01']
657,671
<|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. ['odessa.n.02', '<mask>', 'city.n.01', '_has_part', 'civic_center.n.02', '_hypernym', 'hub.n.02', '_hypernym', 'center.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['odessa.n.02', '_instance_hypernym', 'city.n.01', '_has_part', 'civic_center.n.02', '_hypernym', 'hub.n.02', '_hypernym', 'center.n.01']
657,672
<|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', 'search.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['frisk.n.01', '_hypernym', 'search.n.01']
657,673
<|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', 'blood_cell.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>', '<mask>', 'organelle.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['red_blood_cell.n.01', '_hypernym', 'blood_cell.n.01', '_hypernym', 'somatic_cell.n.01', '_hypernym', 'cell.n.02', '_has_part', 'organelle.n.01']
657,674
<|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. ['oahu.n.01', '<mask>', 'pearl_harbor.n.01', '_instance_hypernym', 'seaport.n.01', '_has_part', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['oahu.n.01', '_has_part', 'pearl_harbor.n.01', '_instance_hypernym', 'seaport.n.01', '_has_part', 'dock.n.05']