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657,600 | <|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'] |