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657,500 | <|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. ['headmaster.n.01', '<mask>', '<mask>', '_hypernym', 'position.n.06'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['headmaster.n.01', '_derivationally_related_form', 'mastership.n.02', '_hypernym', 'position.n.06'] |
657,501 | <|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. ['subsidizer.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['subsidizer.n.01', '_hypernym', 'donor.n.01'] |
657,502 | <|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', 'gas.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['sublimate.n.01', '_hypernym', 'gas.n.02'] |
657,503 | <|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. ['gypsophila.n.01', '_hypernym', 'caryophylloid_dicot_genus.n.01', '_hypernym', 'dicot_genus.n.01', '<mask>', 'genus.n.02', '<mask>', 'species.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['gypsophila.n.01', '_hypernym', 'caryophylloid_dicot_genus.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01'] |
657,504 | <|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. ['magnet.n.01', '_has_part', 'pole.n.10', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['magnet.n.01', '_has_part', 'pole.n.10', '_hypernym', 'end.n.01'] |
657,505 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['game.n.03', '<mask>', 'diversion.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['game.n.03', '_hypernym', 'diversion.n.01'] |
657,506 | <|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', 'mathematics.n.01', '_derivationally_related_form', 'mathematician.n.01', '<mask>', '<mask>', '<mask>', 'science.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['truncation_error.n.01', '_synset_domain_topic_of', 'mathematics.n.01', '_derivationally_related_form', 'mathematician.n.01', '_hypernym', 'scientist.n.01', '_derivationally_related_form', 'science.n.01'] |
657,507 | <|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', 'insurance.n.01', '_hypernym', '<mask>', '<mask>', '<mask>', '_hypernym', 'possession.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['life_insurance.n.01', '_hypernym', 'insurance.n.01', '_hypernym', 'security.n.02', '_hypernym', 'assets.n.01', '_hypernym', 'possession.n.02'] |
657,508 | <|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', 'state.n.04', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['foreign_country.n.01', '_hypernym', 'state.n.04', '_hypernym', 'political_unit.n.01'] |
657,509 | <|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. ['hell.n.06', '<mask>', 'mischief.n.01', '_hypernym', 'misbehavior.n.01', '_hypernym', 'wrongdoing.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['hell.n.06', '_hypernym', 'mischief.n.01', '_hypernym', 'misbehavior.n.01', '_hypernym', 'wrongdoing.n.02'] |
657,510 | <|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. ['antofagasta.n.01', '_instance_hypernym', 'port.n.01', '<mask>', 'geographic_point.n.01', '<mask>', 'point.n.02', '_hypernym', 'location.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['antofagasta.n.01', '_instance_hypernym', 'port.n.01', '_hypernym', 'geographic_point.n.01', '_hypernym', 'point.n.02', '_hypernym', 'location.n.01'] |
657,511 | <|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. ['frivolity.n.01', '_hypernym', '<mask>', '<mask>', 'attribute.n.02', '_hypernym', 'abstraction.n.06', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['frivolity.n.01', '_hypernym', 'trait.n.01', '_hypernym', 'attribute.n.02', '_hypernym', 'abstraction.n.06', '_hypernym', 'entity.n.01'] |
657,512 | <|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. ['paragraph.n.01', '<mask>', '<mask>', '_has_part', '<mask>', '_hypernym', 'conclusion.n.08'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['paragraph.n.01', '_hypernym', 'writing.n.02', '_has_part', 'epilogue.n.02', '_hypernym', 'conclusion.n.08'] |
657,513 | <|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. ['scenery.n.02', '_hypernym', 'vicinity.n.01', '_derivationally_related_form', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['scenery.n.02', '_hypernym', 'vicinity.n.01', '_derivationally_related_form', 'neighbor.n.01'] |
657,514 | <|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. ['cercospora.n.01', '<mask>', '<mask>', '<mask>', 'fungus.n.01', '_hypernym', 'organism.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['cercospora.n.01', '_member_meronym', 'yellow_spot_fungus.n.01', '_hypernym', 'fungus.n.01', '_hypernym', 'organism.n.01'] |
657,515 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['animal_order.n.01', '_hypernym', 'order.n.12', '_hypernym', 'taxonomic_group.n.01', '<mask>', '<mask>', '_hypernym', 'group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['animal_order.n.01', '_hypernym', 'order.n.12', '_hypernym', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01', '_hypernym', 'group.n.01'] |
657,516 | <|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. ['diffusion.n.01', '_synset_domain_topic_of', 'physics.n.01', '<mask>', 'physicist.n.01', '_synset_domain_topic_of', 'physics.n.01', '_derivationally_related_form', 'physicist.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['diffusion.n.01', '_synset_domain_topic_of', 'physics.n.01', '_derivationally_related_form', 'physicist.n.01', '_synset_domain_topic_of', 'physics.n.01', '_derivationally_related_form', 'physicist.n.01'] |
657,517 | <|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. ['dispatch.n.02', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['dispatch.n.02', '_hypernym', 'departure.n.01'] |
657,518 | <|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. ['recorder.n.03', '<mask>', 'judge.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['recorder.n.03', '_hypernym', 'judge.n.01'] |
657,519 | <|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. ['fault_line.n.01', '_hypernym', 'line.n.11', '<mask>', 'location.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['fault_line.n.01', '_hypernym', 'line.n.11', '_hypernym', 'location.n.01'] |
657,520 | <|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. ['hell.n.06', '<mask>', '<mask>', '_hypernym', 'misbehavior.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['hell.n.06', '_hypernym', 'mischief.n.01', '_hypernym', 'misbehavior.n.01'] |
657,521 | <|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. ['maianthemum.n.01', '_hypernym', 'liliid_monocot_genus.n.01', '_hypernym', '<mask>', '<mask>', 'genus.n.02', '_member_meronym', 'species.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['maianthemum.n.01', '_hypernym', 'liliid_monocot_genus.n.01', '_hypernym', 'monocot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01'] |
657,522 | <|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>', 'leukocyte.n.01', '_hypernym', 'blood_cell.n.01', '<mask>', 'somatic_cell.n.01', '<mask>', 'cell.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['lymphocyte.n.01', '_hypernym', 'leukocyte.n.01', '_hypernym', 'blood_cell.n.01', '_hypernym', 'somatic_cell.n.01', '_hypernym', 'cell.n.02'] |
657,523 | <|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. ['summer_cypress.n.01', '_hypernym', 'shrub.n.01', '_hypernym', 'woody_plant.n.01', '_hypernym', 'vascular_plant.n.01', '<mask>', 'plant.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['summer_cypress.n.01', '_hypernym', 'shrub.n.01', '_hypernym', 'woody_plant.n.01', '_hypernym', 'vascular_plant.n.01', '_hypernym', 'plant.n.02'] |
657,524 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_instance_hypernym', 'time_period.n.01', '<mask>', 'fundamental_quantity.n.01', '_hypernym', 'measure.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['mesolithic_age.n.01', '_instance_hypernym', 'time_period.n.01', '_hypernym', 'fundamental_quantity.n.01', '_hypernym', 'measure.n.02'] |
657,525 | <|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. ['catcall.n.01', '<mask>', 'cry.n.01', '<mask>', 'utterance.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['catcall.n.01', '_hypernym', 'cry.n.01', '_hypernym', 'utterance.n.01'] |
657,526 | <|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. ['glaze.n.03', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['glaze.n.03', '_hypernym', 'coating.n.02'] |
657,527 | <|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', 'class.n.07', '_hypernym', 'taxonomic_group.n.01', '_hypernym', '<mask>', '<mask>', 'group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['anthoceropsida.n.01', '_hypernym', 'class.n.07', '_hypernym', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01', '_hypernym', 'group.n.01'] |
657,528 | <|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. ['methanol.n.01', '_hypernym', 'alcohol.n.02', '<mask>', 'liquid.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['methanol.n.01', '_hypernym', 'alcohol.n.02', '_hypernym', 'liquid.n.01'] |
657,529 | <|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. ['vaishnavism.n.01', '<mask>', 'sect.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['vaishnavism.n.01', '_hypernym', 'sect.n.01'] |
657,530 | <|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. ['faith_healing.n.01', '<mask>', 'care.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['faith_healing.n.01', '_hypernym', 'care.n.01'] |
657,531 | <|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. ['rock_pink.n.01', '_hypernym', 'flame_flower.n.02', '_hypernym', 'wildflower.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['rock_pink.n.01', '_hypernym', 'flame_flower.n.02', '_hypernym', 'wildflower.n.01', '_hypernym', 'angiosperm.n.01', '_hypernym', 'spermatophyte.n.01'] |
657,532 | <|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', 'sound.n.04'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['chirrup.n.01', '_hypernym', 'sound.n.04'] |
657,533 | <|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>', '_has_part', 'trunk.n.01', '_has_part', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['cassia.n.01', '_hypernym', 'tree.n.01', '_has_part', 'trunk.n.01', '_has_part', 'bark.n.01', '_hypernym', 'covering.n.01'] |
657,534 | <|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>', 'anticonvulsant.n.01', '_hypernym', 'medicine.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['primidone.n.01', '_hypernym', 'anticonvulsant.n.01', '_hypernym', 'medicine.n.02'] |
657,535 | <|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. ['disk_cache.n.01', '_hypernym', 'cache.n.03', '_synset_domain_topic_of', '<mask>', '<mask>', '<mask>', '_synset_domain_topic_of', 'computer_science.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['disk_cache.n.01', '_hypernym', 'cache.n.03', '_synset_domain_topic_of', 'computer_science.n.01', '_synset_domain_topic_of', 'computer.n.01', '_synset_domain_topic_of', 'computer_science.n.01'] |
657,536 | <|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. ['chemoreceptor.n.01', '_hypernym', 'sense_organ.n.01', '_hypernym', 'organ.n.01', '<mask>', 'lobe.n.01', '_synset_domain_topic_of', 'anatomy.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['chemoreceptor.n.01', '_hypernym', 'sense_organ.n.01', '_hypernym', 'organ.n.01', '_has_part', 'lobe.n.01', '_synset_domain_topic_of', 'anatomy.n.01'] |
657,537 | <|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. ['english_sparrow.n.01', '<mask>', 'sparrow.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['english_sparrow.n.01', '_hypernym', 'sparrow.n.01'] |
657,538 | <|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', 'military.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['cavalry.n.02', '_synset_domain_topic_of', 'military.n.01', '_hypernym', 'force.n.04'] |
657,539 | <|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', 'investigation.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['count.n.02', '_hypernym', 'investigation.n.02'] |
657,540 | <|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. ['sparta.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'civic_center.n.02', '<mask>', 'hub.n.02', '_hypernym', 'center.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['sparta.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'civic_center.n.02', '_hypernym', 'hub.n.02', '_hypernym', 'center.n.01'] |
657,541 | <|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>', 'volume_unit.n.01', '<mask>', 'unit_of_measurement.n.01', '_hypernym', 'definite_quantity.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['cran.n.01', '_hypernym', 'volume_unit.n.01', '_hypernym', 'unit_of_measurement.n.01', '_hypernym', 'definite_quantity.n.01', '_hypernym', 'measure.n.02'] |
657,542 | <|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. ['naval_surface_warfare_center.n.01', '_hypernym', 'agency.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['naval_surface_warfare_center.n.01', '_hypernym', 'agency.n.01', '_hypernym', 'administrative_unit.n.01', '_hypernym', 'unit.n.03'] |
657,543 | <|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', 'genus.n.02', '_hypernym', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['genus_mola.n.01', '_hypernym', 'fish_genus.n.01', '_hypernym', 'genus.n.02', '_hypernym', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01'] |
657,544 | <|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. ['watch.n.01', '_hypernym', '<mask>', '_has_part', '<mask>', '_hypernym', 'ball.n.03', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['watch.n.01', '_hypernym', 'timepiece.n.01', '_has_part', 'time-ball.n.01', '_hypernym', 'ball.n.03', '_hypernym', 'sphere.n.05'] |
657,545 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', '<mask>', '_hypernym', 'circuit.n.01', '_hypernym', '<mask>', '_has_part', 'terminal.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['gate.n.02', '_hypernym', 'computer_circuit.n.01', '_hypernym', 'circuit.n.01', '_hypernym', 'electrical_device.n.01', '_has_part', 'terminal.n.02'] |
657,546 | <|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. ['phantom_orchid.n.01', '_hypernym', '<mask>', '_hypernym', 'flower.n.01', '_hypernym', 'angiosperm.n.01', '<mask>', 'spermatophyte.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['phantom_orchid.n.01', '_hypernym', 'orchid.n.01', '_hypernym', 'flower.n.01', '_hypernym', 'angiosperm.n.01', '_hypernym', 'spermatophyte.n.01'] |
657,547 | <|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. ['social_gathering.n.01', '<mask>', 'gathering.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['social_gathering.n.01', '_hypernym', 'gathering.n.01'] |
657,548 | <|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. ['parana.n.01', '_has_part', 'sete_quedas.n.01', '_instance_hypernym', 'waterfall.n.01', '<mask>', 'body_of_water.n.01', '_synset_domain_topic_of', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['parana.n.01', '_has_part', 'sete_quedas.n.01', '_instance_hypernym', 'waterfall.n.01', '_hypernym', 'body_of_water.n.01', '_synset_domain_topic_of', 'ocean.n.01'] |
657,549 | <|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. ['utrecht.n.01', '_instance_hypernym', 'city.n.01', '<mask>', '<mask>', '<mask>', 'urban_area.n.01', '<mask>', 'park.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['utrecht.n.01', '_instance_hypernym', 'city.n.01', '_hypernym', 'municipality.n.01', '_hypernym', 'urban_area.n.01', '_has_part', 'park.n.02'] |
657,550 | <|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', 'law.n.01', '_hypernym', 'collection.n.01', '_hypernym', 'group.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['letters_of_administration.n.01', '_synset_domain_topic_of', 'law.n.01', '_hypernym', 'collection.n.01', '_hypernym', 'group.n.01', '_hypernym', 'abstraction.n.06'] |
657,551 | <|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', 'bodily_property.n.01', '_hypernym', 'property.n.02', '_hypernym', 'attribute.n.02', '_hypernym', 'abstraction.n.06'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['physique.n.01', '_hypernym', 'bodily_property.n.01', '_hypernym', 'property.n.02', '_hypernym', 'attribute.n.02', '_hypernym', 'abstraction.n.06'] |
657,552 | <|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. ['radical.n.04', '_synset_domain_topic_of', '<mask>', '<mask>', '<mask>', '_derivationally_related_form', 'scientist.n.01', '<mask>', 'person.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['radical.n.04', '_synset_domain_topic_of', 'mathematics.n.01', '_hypernym', 'science.n.01', '_derivationally_related_form', 'scientist.n.01', '_hypernym', 'person.n.01'] |
657,553 | <|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. ['linnaeus.n.01', '_instance_hypernym', '<mask>', '_hypernym', 'biologist.n.01', '_derivationally_related_form', 'life_science.n.01', '_derivationally_related_form', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['linnaeus.n.01', '_instance_hypernym', 'botanist.n.01', '_hypernym', 'biologist.n.01', '_derivationally_related_form', 'life_science.n.01', '_derivationally_related_form', 'biologist.n.01'] |
657,554 | <|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. ['option.n.02', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['option.n.02', '_hypernym', 'decision_making.n.01'] |
657,555 | <|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. ['self-flagellation.n.01', '<mask>', 'whipping.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['self-flagellation.n.01', '_hypernym', 'whipping.n.01', '_hypernym', 'beating.n.02'] |
657,556 | <|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. ['frankliniella.n.01', '_member_meronym', 'tobacco_thrips.n.01', '<mask>', 'thrips.n.01', '<mask>', 'thysanopter.n.01', '_hypernym', 'insect.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['frankliniella.n.01', '_member_meronym', 'tobacco_thrips.n.01', '_hypernym', 'thrips.n.01', '_hypernym', 'thysanopter.n.01', '_hypernym', 'insect.n.01'] |
657,557 | <|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. ['cedar.n.01', '<mask>', '<mask>', '_has_part', 'cone.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['cedar.n.01', '_hypernym', 'conifer.n.01', '_has_part', 'cone.n.03'] |
657,558 | <|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', 'sentence.n.01', '_hypernym', 'string_of_words.n.01', '<mask>', 'language.n.01', '_hypernym', 'communication.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['complex_sentence.n.01', '_hypernym', 'sentence.n.01', '_hypernym', 'string_of_words.n.01', '_hypernym', 'language.n.01', '_hypernym', 'communication.n.02'] |
657,559 | <|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. ['bambusa.n.01', '_hypernym', 'monocot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_member_meronym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['bambusa.n.01', '_hypernym', 'monocot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_member_meronym', 'form.n.09'] |
657,560 | <|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. ['scolopacidae.n.01', '_member_meronym', 'philomachus.n.01', '<mask>', 'bird_genus.n.01', '_hypernym', 'genus.n.02', '_hypernym', 'taxonomic_group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['scolopacidae.n.01', '_member_meronym', 'philomachus.n.01', '_hypernym', 'bird_genus.n.01', '_hypernym', 'genus.n.02', '_hypernym', 'taxonomic_group.n.01'] |
657,561 | <|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>', 'sphincter.n.01', '_hypernym', 'muscle.n.01', '_has_part', 'muscle_cell.n.01', '_hypernym', 'fiber.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['pupillary_sphincter.n.01', '_hypernym', 'sphincter.n.01', '_hypernym', 'muscle.n.01', '_has_part', 'muscle_cell.n.01', '_hypernym', 'fiber.n.03'] |
657,562 | <|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. ['machiavelli.n.01', '<mask>', '<mask>', '_hypernym', '<mask>', '_derivationally_related_form', 'politics.n.01', '<mask>', 'social_relation.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['machiavelli.n.01', '_instance_hypernym', 'statesman.n.01', '_hypernym', 'politician.n.02', '_derivationally_related_form', 'politics.n.01', '_hypernym', 'social_relation.n.01'] |
657,563 | <|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. ['milwaukee.n.01', '_instance_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['milwaukee.n.01', '_instance_hypernym', 'city.n.01'] |
657,564 | <|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. ['sexism.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['sexism.n.01', '_hypernym', 'discrimination.n.01'] |
657,565 | <|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. ['nerve_fiber.n.01', '<mask>', 'fiber.n.01', '<mask>', '<mask>', '_hypernym', 'substance.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['nerve_fiber.n.01', '_hypernym', 'fiber.n.01', '_hypernym', 'material.n.01', '_hypernym', 'substance.n.01'] |
657,566 | <|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', 'committee.n.01', '<mask>', 'committee_member.n.01', '_hypernym', 'member.n.01', '_hypernym', 'associate.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['commissioner.n.02', '_derivationally_related_form', 'committee.n.01', '_member_meronym', 'committee_member.n.01', '_hypernym', 'member.n.01', '_hypernym', 'associate.n.01'] |
657,567 | <|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. ['scincidae.n.01', '_member_meronym', 'eumeces.n.01', '_hypernym', 'reptile_genus.n.01', '_hypernym', 'genus.n.02', '_synset_domain_topic_of', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['scincidae.n.01', '_member_meronym', 'eumeces.n.01', '_hypernym', 'reptile_genus.n.01', '_hypernym', 'genus.n.02', '_synset_domain_topic_of', 'biology.n.01'] |
657,568 | <|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', 'wood.n.01', '_hypernym', 'plant_material.n.01', '<mask>', 'material.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['juniper.n.02', '_hypernym', 'cypress.n.01', '_hypernym', 'wood.n.01', '_hypernym', 'plant_material.n.01', '_hypernym', 'material.n.01'] |
657,569 | <|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. ['ophthalmologist.n.01', '<mask>', 'specialist.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['ophthalmologist.n.01', '_hypernym', 'specialist.n.02'] |
657,570 | <|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', 'anatomy.n.01', '_derivationally_related_form', 'anatomist.n.01', '<mask>', 'human_body.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['fundus.n.01', '_synset_domain_topic_of', 'anatomy.n.01', '_derivationally_related_form', 'anatomist.n.01', '_derivationally_related_form', 'human_body.n.01'] |
657,571 | <|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. ['indian_paintbrush.n.02', '_hypernym', 'wildflower.n.01', '_hypernym', '<mask>', '_hypernym', 'spermatophyte.n.01', '_hypernym', 'vascular_plant.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['indian_paintbrush.n.02', '_hypernym', 'wildflower.n.01', '_hypernym', 'angiosperm.n.01', '_hypernym', 'spermatophyte.n.01', '_hypernym', 'vascular_plant.n.01'] |
657,572 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_instance_hypernym', 'doctor.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['lozier.n.01', '_instance_hypernym', 'doctor.n.01'] |
657,573 | <|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. ['japanese.n.01', '<mask>', 'asian.n.01', '_hypernym', '<mask>', '_hypernym', 'person.n.01', '_has_part', 'personality.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['japanese.n.01', '_hypernym', 'asian.n.01', '_hypernym', 'person_of_color.n.01', '_hypernym', 'person.n.01', '_has_part', 'personality.n.01'] |
657,574 | <|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', 'baseball.n.01', '<mask>', '<mask>', '_hypernym', 'field_game.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['starting_pitcher.n.01', '_synset_domain_topic_of', 'baseball.n.01', '_hypernym', 'ball_game.n.01', '_hypernym', 'field_game.n.01', '_hypernym', 'outdoor_game.n.01'] |
657,575 | <|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.n.03', '_hypernym', 'commercial_enterprise.n.02', '_hypernym', 'commerce.n.01', '<mask>', 'transportation.n.05'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['storage.n.03', '_hypernym', 'commercial_enterprise.n.02', '_hypernym', 'commerce.n.01', '_has_part', 'transportation.n.05'] |
657,576 | <|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. ['pawl.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['pawl.n.01', '_hypernym', 'catch.n.06'] |
657,577 | <|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. ['sheep-tick.n.02', '_hypernym', 'hard_tick.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['sheep-tick.n.02', '_hypernym', 'hard_tick.n.01', '_hypernym', 'tick.n.02'] |
657,578 | <|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. ['anacardium.n.01', '_member_meronym', 'cashew.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['anacardium.n.01', '_member_meronym', 'cashew.n.01', '_hypernym', 'nut_tree.n.01'] |
657,579 | <|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', 'seller.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['underseller.n.01', '_hypernym', 'seller.n.01'] |
657,580 | <|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', '<mask>', '_hypernym', '<mask>', '_member_meronym', 'subgenus.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['sarcocephalus.n.01', '_hypernym', 'asterid_dicot_genus.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'subgenus.n.01'] |
657,581 | <|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. ['harpsichord.n.01', '_derivationally_related_form', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['harpsichord.n.01', '_derivationally_related_form', 'harpsichordist.n.01', '_hypernym', 'musician.n.01'] |
657,582 | <|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. ['arabian_peninsula.n.01', '_has_part', 'yemen.n.01', '_has_part', 'hodeida.n.01', '<mask>', 'city.n.01', '_has_part', 'civic_center.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['arabian_peninsula.n.01', '_has_part', 'yemen.n.01', '_has_part', 'hodeida.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'civic_center.n.02'] |
657,583 | <|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>', 'font.n.01', '_hypernym', 'type.n.04', '_hypernym', 'character.n.08', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['bicameral_script.n.01', '_hypernym', 'font.n.01', '_hypernym', 'type.n.04', '_hypernym', 'character.n.08', '_hypernym', 'written_symbol.n.01'] |
657,584 | <|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. ['general_officer.n.01', '_synset_domain_topic_of', '<mask>', '_member_meronym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['general_officer.n.01', '_synset_domain_topic_of', 'military.n.01', '_member_meronym', 'cadre.n.02'] |
657,585 | <|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. ['fleet.n.04', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['fleet.n.04', '_hypernym', 'collection.n.01'] |
657,586 | <|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', '<mask>', '_hypernym', 'control.n.09'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['doorbell.n.01', '_hypernym', 'push_button.n.01', '_hypernym', 'switch.n.01', '_hypernym', 'control.n.09'] |
657,587 | <|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. ['rete_testis.n.01', '<mask>', '<mask>', '_hypernym', 'structure.n.04', '_hypernym', 'body_part.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['rete_testis.n.01', '_hypernym', 'plexus.n.01', '_hypernym', 'structure.n.04', '_hypernym', 'body_part.n.01', '_hypernym', 'part.n.03'] |
657,588 | <|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. ['freshness.n.03', '_derivationally_related_form', 'euopean_hoopoe.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>', '<mask>', 'bird.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['freshness.n.03', '_derivationally_related_form', 'euopean_hoopoe.n.01', '_hypernym', 'hoopoe.n.01', '_hypernym', 'coraciiform_bird.n.01', '_hypernym', 'bird.n.01'] |
657,589 | <|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. ['bond.n.02', '_hypernym', '<mask>', '<mask>', 'document.n.03', '<mask>', 'communication.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['bond.n.02', '_hypernym', 'debt_instrument.n.01', '_hypernym', 'document.n.03', '_hypernym', 'communication.n.02'] |
657,590 | <|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. ['psaltriparus.n.01', '_hypernym', 'bird_genus.n.01', '<mask>', 'genus.n.02', '_member_meronym', 'species.n.01', '<mask>', 'taxonomic_group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['psaltriparus.n.01', '_hypernym', 'bird_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_hypernym', 'taxonomic_group.n.01'] |
657,591 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the wordnet knowledge graph. Do not include any extra text. ['<mask>', '_instance_hypernym', 'pope.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['pius_xi.n.01', '_instance_hypernym', 'pope.n.01'] |
657,592 | <|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. ['samarium.n.01', '<mask>', 'metallic_element.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['samarium.n.01', '_hypernym', 'metallic_element.n.01'] |
657,593 | <|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', 'gurnard.n.01', '_hypernym', 'scorpaenoid.n.01', '_hypernym', '<mask>', '_hypernym', 'teleost_fish.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['sea_robin.n.01', '_hypernym', 'gurnard.n.01', '_hypernym', 'scorpaenoid.n.01', '_hypernym', 'spiny-finned_fish.n.01', '_hypernym', 'teleost_fish.n.01'] |
657,594 | <|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. ['haste.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['haste.n.01', '_hypernym', 'speed.n.02'] |
657,595 | <|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. ['professor.n.01', '_derivationally_related_form', 'professorship.n.01', '_derivationally_related_form', '<mask>', '<mask>', '<mask>', '_derivationally_related_form', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['professor.n.01', '_derivationally_related_form', 'professorship.n.01', '_derivationally_related_form', 'professor.n.01', '_hypernym', 'academician.n.03', '_derivationally_related_form', 'academy.n.02'] |
657,596 | <|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', 'information.n.02', '_hypernym', '<mask>', '_hypernym', 'psychological_feature.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['detail.n.01', '_hypernym', 'fact.n.01', '_hypernym', 'information.n.02', '_hypernym', 'cognition.n.01', '_hypernym', 'psychological_feature.n.01'] |
657,597 | <|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. ['net.n.06', '<mask>', 'backbone.n.05', '_hypernym', 'connection.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['net.n.06', '_has_part', 'backbone.n.05', '_hypernym', 'connection.n.03'] |
657,598 | <|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', 'double-reed_instrument.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['oboe.n.01', '_hypernym', 'double-reed_instrument.n.01'] |
657,599 | <|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. ['chill.n.04', '<mask>', 'apprehension.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['chill.n.04', '_hypernym', 'apprehension.n.01'] |