Triple

T7046339
Position Surface form Disambiguated ID Type / Status
Subject Luyengo Campus E163641 entity
Predicate associatedWith P37 FINISHED
Object Faculty of Agriculture (University of Swaziland)
The Faculty of Agriculture at the University of Swaziland is an academic division specializing in agricultural sciences, education, and research, serving as a key center for training professionals to support the country’s agricultural and rural development.
E639058 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 (University of Swaziland) | Statement: [Luyengo Campus, associatedWith, Faculty of Agriculture (University of Swaziland)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Agriculture (University of Swaziland)
Context triple: [Luyengo Campus, associatedWith, Faculty of Agriculture (University of Swaziland)]
  • A. Faculty of Agriculture
    The Faculty of Agriculture is an academic unit of Universitas Brawijaya in Indonesia that focuses on education and research in agricultural sciences and related fields.
  • B. Faculty of Agriculture
    The Faculty of Agriculture at the University of Tokyo is a leading academic division specializing in agricultural sciences, life sciences, and related environmental and resource studies.
  • C. Faculty of Agriculture
    The Faculty of Agriculture at Kyoto University is an academic division specializing in agricultural sciences, life sciences, and related environmental and resource studies.
  • D. Faculty of Agriculture
    The Faculty of Agriculture at Kobe University is an academic division specializing in agricultural sciences, food production, and related environmental and biological research and education.
  • E. Faculty of Agriculture
    The Faculty of Agriculture at the University of Bonn is an academic division specializing in agricultural sciences, research, and education related to farming, food production, and environmental sustainability.
  • 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 (University of Swaziland)
Triple: [Luyengo Campus, associatedWith, Faculty of Agriculture (University of Swaziland)]
Generated description
The Faculty of Agriculture at the University of Swaziland is an academic division specializing in agricultural sciences, education, and research, serving as a key center for training professionals to support the country’s agricultural and rural development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Agriculture (University of Swaziland)
Target entity description: The Faculty of Agriculture at the University of Swaziland is an academic division specializing in agricultural sciences, education, and research, serving as a key center for training professionals to support the country’s agricultural and rural development.
  • A. Faculty of Agriculture
    The Faculty of Agriculture is an academic unit of Universitas Brawijaya in Indonesia that focuses on education and research in agricultural sciences and related fields.
  • B. Faculty of Agriculture
    The Faculty of Agriculture at the University of Tokyo is a leading academic division specializing in agricultural sciences, life sciences, and related environmental and resource studies.
  • C. Faculty of Agriculture
    The Faculty of Agriculture at Kyoto University is an academic division specializing in agricultural sciences, life sciences, and related environmental and resource studies.
  • D. Faculty of Agriculture
    The Faculty of Agriculture at Kobe University is an academic division specializing in agricultural sciences, food production, and related environmental and biological research and education.
  • E. Faculty of Agriculture
    The Faculty of Agriculture at the University of Bonn is an academic division specializing in agricultural sciences, research, and education related to farming, food production, and environmental sustainability.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23a72f481909ce77ef73b06ea95 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887e6e50819088c23c9b45861a54 completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c78a822ab0819097e2b40d4b9e044f completed March 28, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69c78b33f5308190a3f234a2c0bd8b9c completed March 28, 2026, 8:03 a.m.
Created at: March 27, 2026, 2:37 p.m.