Triple

T9591413
Position Surface form Disambiguated ID Type / Status
Subject Kyoto University Graduate School of Agriculture E231425 entity
Predicate hasUnit P35 FINISHED
Object Department of Agricultural and Resource Economics
The Department of Agricultural and Resource Economics is an academic unit specializing in the economic analysis and management of agriculture, natural resources, and related policies.
E181469 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Agricultural and Resource Economics | Statement: [Kyoto University Graduate School of Agriculture, hasUnit, Department of Agricultural and Resource Economics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Agricultural and Resource Economics
Context triple: [Kyoto University Graduate School of Agriculture, hasUnit, Department of Agricultural and Resource Economics]
  • A. Department of Agricultural and Resource Economics
    The Department of Agricultural and Resource Economics is an academic unit at the University of Tokyo that focuses on the economic analysis and management of agriculture, natural resources, and related rural and environmental issues.
  • B. Department of Agricultural Economics
    The Department of Agricultural Economics is an academic unit specializing in the economic analysis of agriculture, food systems, and rural development within Hokkaido University's Faculty of Agriculture.
  • C. Department of Agricultural Economics
    The Department of Agricultural Economics is an academic unit at the University of Nairobi that focuses on the economic aspects of agriculture, including farm management, agricultural policy, rural development, and agribusiness.
  • D. Division of Agricultural Economics
    The Division of Agricultural Economics is a research and academic unit of the Indian Agricultural Research Institute that focuses on economic analysis of agriculture, including farm management, policy, markets, and rural development.
  • E. Department of Agricultural Economics and Business
    The Department of Agricultural Economics and Business is an academic unit specializing in the economic, business, and policy aspects of agriculture and food systems within the Ontario Agricultural College.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Agricultural and Resource Economics
Triple: [Kyoto University Graduate School of Agriculture, hasUnit, Department of Agricultural and Resource Economics]
Generated description
The Department of Agricultural and Resource Economics is an academic unit specializing in the economic analysis and management of agriculture, natural resources, and related policies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Agricultural and Resource Economics
Target entity description: The Department of Agricultural and Resource Economics is an academic unit specializing in the economic analysis and management of agriculture, natural resources, and related policies.
  • A. Department of Agricultural and Resource Economics chosen
    The Department of Agricultural and Resource Economics is an academic unit at the University of Tokyo that focuses on the economic analysis and management of agriculture, natural resources, and related rural and environmental issues.
  • B. Department of Agricultural Economics
    The Department of Agricultural Economics is an academic unit specializing in the economic analysis of agriculture, food systems, and rural development within Hokkaido University's Faculty of Agriculture.
  • C. Department of Agricultural Economics
    The Department of Agricultural Economics is an academic unit at the University of Nairobi that focuses on the economic aspects of agriculture, including farm management, agricultural policy, rural development, and agribusiness.
  • D. Division of Agricultural Economics
    The Division of Agricultural Economics is a research and academic unit of the Indian Agricultural Research Institute that focuses on economic analysis of agriculture, including farm management, policy, markets, and rural development.
  • E. Department of Agricultural Economics and Business
    The Department of Agricultural Economics and Business is an academic unit specializing in the economic, business, and policy aspects of agriculture and food systems within the Ontario Agricultural College.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a10b85881908bfc783dcb7170aa completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1618dfb688190bddd93c51bb6df41 completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d165c365988190a751703b631a66be completed April 4, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69d16698b4ec8190b3b8a2432e65d8e8 completed April 4, 2026, 7:29 p.m.
Created at: March 30, 2026, 8:06 p.m.