Triple

T8576585
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Agriculture, University of Nairobi E203061 entity
Predicate hasDepartment P35 FINISHED
Object 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.
E743699 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 Economics | Statement: [Faculty of Agriculture, University of Nairobi, hasDepartment, Department of Agricultural Economics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Agricultural Economics
Context triple: [Faculty of Agriculture, University of Nairobi, hasDepartment, Department of Agricultural Economics]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Department of Agricultural Economics (Purdue University)
    The Department of Agricultural Economics at Purdue University is an academic unit specializing in the study and research of agricultural markets, farm management, agribusiness, and related economic and policy issues.
  • 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 Economics
Triple: [Faculty of Agriculture, University of Nairobi, hasDepartment, Department of Agricultural Economics]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Agricultural Economics
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Department of Agricultural Economics (Purdue University)
    The Department of Agricultural Economics at Purdue University is an academic unit specializing in the study and research of agricultural markets, farm management, agribusiness, and related economic and policy issues.
  • F. None of above. chosen

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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea97787481909ebbaa45f59cbdaa completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce899dd7d48190b44338b92ad68bd0 completed April 2, 2026, 3:22 p.m.
NEDg Description generation batch_69ce8c7ad5cc8190a50c8e15ce353d1d completed April 2, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d595d80819093a1b849bcb3c7c7 completed April 2, 2026, 3:38 p.m.
Created at: March 30, 2026, 6:21 p.m.