Triple

T2202923
Position Surface form Disambiguated ID Type / Status
Subject Graduate School of Medical Sciences, Kyushu University E50531 entity
Predicate affiliation P10 FINISHED
Object 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.
E244711 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 Medical Sciences, Kyushu University | Statement: [Graduate School of Medical Sciences, Kyushu University, affiliation, Faculty of Medical Sciences, Kyushu University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medical Sciences, Kyushu University
Context triple: [Graduate School of Medical Sciences, Kyushu University, affiliation, Faculty of Medical Sciences, Kyushu University]
  • A. Graduate School of Medicine, Kyoto University
    The Graduate School of Medicine, Kyoto University is a leading Japanese medical graduate institution known for its advanced research and education in clinical medicine, biomedical sciences, and public health.
  • B. Nagasaki University School of Medicine
    Nagasaki University School of Medicine is a Japanese medical school and research institution located in the city of Nagasaki, known for its contributions to medical education, clinical practice, and research, including in radiation and peace-related health studies.
  • C. Kyushu University Hospital
    Kyushu University Hospital is a major teaching and research medical center in Fukuoka, Japan, affiliated with Kyushu University and providing advanced clinical care across a wide range of specialties.
  • D. Kyushu University Graduate School of Pharmaceutical Sciences
    Kyushu University Graduate School of Pharmaceutical Sciences is a graduate-level institution in Japan dedicated to advanced education and research in pharmaceutical sciences within Kyushu University.
  • E. Faculty of Medicine, The University of Tokyo
    The Faculty of Medicine at the University of Tokyo is a leading Japanese medical school and research institution renowned for training physicians and advancing biomedical science.
  • 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 Medical Sciences, Kyushu University
Triple: [Graduate School of Medical Sciences, Kyushu University, affiliation, Faculty of Medical Sciences, Kyushu University]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Medical Sciences, Kyushu University
Target entity description: 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.
  • A. Graduate School of Medicine, Kyoto University
    The Graduate School of Medicine, Kyoto University is a leading Japanese medical graduate institution known for its advanced research and education in clinical medicine, biomedical sciences, and public health.
  • B. Nagasaki University School of Medicine
    Nagasaki University School of Medicine is a Japanese medical school and research institution located in the city of Nagasaki, known for its contributions to medical education, clinical practice, and research, including in radiation and peace-related health studies.
  • C. Kyushu University Hospital
    Kyushu University Hospital is a major teaching and research medical center in Fukuoka, Japan, affiliated with Kyushu University and providing advanced clinical care across a wide range of specialties.
  • D. Kyushu University Graduate School of Pharmaceutical Sciences
    Kyushu University Graduate School of Pharmaceutical Sciences is a graduate-level institution in Japan dedicated to advanced education and research in pharmaceutical sciences within Kyushu University.
  • E. Faculty of Medicine, The University of Tokyo
    The Faculty of Medicine at the University of Tokyo is a leading Japanese medical school and research institution renowned for training physicians and advancing biomedical science.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa33f0881908403604eafb73ecf completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65473fd48190b58dba4205776096 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae666bd32c81909ff15201757a6c76 completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae66d8ba688190a2102c00fc6231c4 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:46 p.m.