Triple

T15742572
Position Surface form Disambiguated ID Type / Status
Subject University of Guyana E381635 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Agriculture and Forestry
The Faculty of Agriculture and Forestry is an academic division of the University of Guyana that focuses on education and research in agricultural sciences, forestry, and related environmental disciplines.
E1173858 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: Faculty of Agriculture and Forestry | Statement: [University of Guyana, hasFaculty, Faculty of Agriculture and Forestry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Agriculture and Forestry
Context triple: [University of Guyana, hasFaculty, Faculty of Agriculture and Forestry]
  • A. Faculty of Agriculture and Forestry
    The Faculty of Agriculture and Forestry is a major academic unit of the University of Helsinki specializing in agricultural sciences, forestry, food and environmental research, and related education.
  • B. Faculty of Agricultural and Forestry Sciences
    The Faculty of Agricultural and Forestry Sciences is an academic unit of the Universidad de La Frontera in Chile that specializes in education and research related to agriculture, forestry, and natural resource management.
  • C. College of Agriculture and Forestry
    The College of Agriculture and Forestry is an academic institution within the University of Mosul specializing in agricultural sciences, forestry, and related environmental studies.
  • D. College of Agriculture and Forestry
    The College of Agriculture and Forestry is an academic unit of the University of Liberia that provides education and research in agricultural sciences, forestry, and related natural resource disciplines.
  • E. Faculty of Forestry
    The Faculty of Forestry is an academic unit of the University of Sarajevo specializing in education and research in forestry, environmental management, and related natural resources.
  • 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: Faculty of Agriculture and Forestry
Triple: [University of Guyana, hasFaculty, Faculty of Agriculture and Forestry]
Generated description
The Faculty of Agriculture and Forestry is an academic division of the University of Guyana that focuses on education and research in agricultural sciences, forestry, and related environmental disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Agriculture and Forestry
Target entity description: The Faculty of Agriculture and Forestry is an academic division of the University of Guyana that focuses on education and research in agricultural sciences, forestry, and related environmental disciplines.
  • A. Faculty of Agriculture and Forestry
    The Faculty of Agriculture and Forestry is a major academic unit of the University of Helsinki specializing in agricultural sciences, forestry, food and environmental research, and related education.
  • B. Faculty of Agricultural and Forestry Sciences
    The Faculty of Agricultural and Forestry Sciences is an academic unit of the Universidad de La Frontera in Chile that specializes in education and research related to agriculture, forestry, and natural resource management.
  • C. College of Agriculture and Forestry
    The College of Agriculture and Forestry is an academic unit of the University of Liberia that provides education and research in agricultural sciences, forestry, and related natural resource disciplines.
  • D. College of Agriculture and Forestry
    The College of Agriculture and Forestry is an academic institution within the University of Mosul specializing in agricultural sciences, forestry, and related environmental studies.
  • E. Faculty of Forestry
    The Faculty of Forestry is an academic division of the National University of Laos specializing in education and research related to forests, natural resources, and environmental management.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd97d6c8190b2fa6ca422bfe512 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff83056aa0819098b757ed125e61fe completed May 9, 2026, 6:55 p.m.
NEDg Description generation batch_69ff83ca33d08190816130bf2ea735df completed May 9, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69ff8469354c819080b8cfddb7c66be5 completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:46 a.m.