Triple

T2291831
Position Surface form Disambiguated ID Type / Status
Subject Maidashi Campus E51520 entity
Predicate hostsFaculty P141 FINISHED
Object School of Health Sciences, Kyushu University
The School of Health Sciences at Kyushu University is an academic faculty specializing in education and research in health and medical sciences within one of Japan’s leading national universities.
E257779 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: School of Health Sciences, Kyushu University | Statement: [Maidashi Campus, hostsFaculty, School of Health Sciences, Kyushu University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Health Sciences, Kyushu University
Context triple: [Maidashi Campus, hostsFaculty, School of Health Sciences, Kyushu University]
  • A. Faculty of Medical Sciences, Kyushu University
    The Faculty of Medical Sciences at Kyushu University is a core academic unit responsible for education and research in medicine and related health sciences at one of Japan’s leading national universities.
  • B. School of Human Health Sciences, Kyoto University
    The School of Human Health Sciences at Kyoto University is an academic unit specializing in education and research related to health sciences, clinical practice, and human well-being within the university’s medical framework.
  • C. Faculty of Science, Kyushu University
    The Faculty of Science at Kyushu University is an academic division that oversees education and research in the natural sciences within this major Japanese national university.
  • D. Faculty of Pharmaceutical Sciences, Kyushu University
    The Faculty of Pharmaceutical Sciences at Kyushu University is an academic division specializing in pharmaceutical education and research, training pharmacists and scientists and advancing drug discovery and medical therapeutics.
  • E. Department of Public Health, Kyoto University
    The Department of Public Health at Kyoto University is an academic and research unit specializing in population health, epidemiology, and preventive medicine within the university’s Faculty of Medicine.
  • 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: School of Health Sciences, Kyushu University
Triple: [Maidashi Campus, hostsFaculty, School of Health Sciences, Kyushu University]
Generated description
The School of Health Sciences at Kyushu University is an academic faculty specializing in education and research in health and medical sciences within one of Japan’s leading national universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Health Sciences, Kyushu University
Target entity description: The School of Health Sciences at Kyushu University is an academic faculty specializing in education and research in health and medical sciences within one of Japan’s leading national universities.
  • A. Faculty of Medical Sciences, Kyushu University
    The Faculty of Medical Sciences at Kyushu University is a core academic unit responsible for education and research in medicine and related health sciences at one of Japan’s leading national universities.
  • B. School of Human Health Sciences, Kyoto University
    The School of Human Health Sciences at Kyoto University is an academic unit specializing in education and research related to health sciences, clinical practice, and human well-being within the university’s medical framework.
  • C. Faculty of Science, Kyushu University
    The Faculty of Science at Kyushu University is an academic division that oversees education and research in the natural sciences within this major Japanese national university.
  • D. Faculty of Pharmaceutical Sciences, Kyushu University
    The Faculty of Pharmaceutical Sciences at Kyushu University is an academic division specializing in pharmaceutical education and research, training pharmacists and scientists and advancing drug discovery and medical therapeutics.
  • E. Department of Public Health, Kyoto University
    The Department of Public Health at Kyoto University is an academic and research unit specializing in population health, epidemiology, and preventive medicine within the university’s Faculty of Medicine.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5b50df481908a3d8f71d245e8fa completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae96080548819098ae6c5ab73036f2 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae96d95c648190bca59f97c01e59fc completed March 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ae974d062c819091459361f519ee3e completed March 9, 2026, 9:47 a.m.
Created at: March 4, 2026, 7:48 p.m.