Triple

T2080521
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, Kyoto University E45227 entity
Predicate hasDepartment P35 FINISHED
Object 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.
E231423 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 Public Health, Kyoto University | Statement: [Faculty of Medicine, Kyoto University, hasDepartment, Department of Public Health, Kyoto University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Public Health, Kyoto University
Context triple: [Faculty of Medicine, Kyoto University, hasDepartment, Department of Public Health, Kyoto University]
  • A. 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.
  • B. Institute of Medical Science, University of Tokyo
    The Institute of Medical Science, University of Tokyo is a leading Japanese biomedical research and graduate education center renowned for its work in infectious diseases, genomics, and advanced medical science.
  • C. Kindai University Hospital
    Kindai University Hospital is a major teaching and research medical center in Japan that provides advanced clinical care as part of Kindai University’s healthcare system.
  • D. Japanese Ministry of Health and Welfare
    The Japanese Ministry of Health and Welfare was a former government ministry of Japan responsible for national public health policy, medical services, and social welfare programs before its functions were merged into the Ministry of Health, Labour and Welfare.
  • E. 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.
  • 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 Public Health, Kyoto University
Triple: [Faculty of Medicine, Kyoto University, hasDepartment, Department of Public Health, Kyoto University]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Public Health, Kyoto University
Target entity description: 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.
  • A. 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.
  • B. Institute of Medical Science, University of Tokyo
    The Institute of Medical Science, University of Tokyo is a leading Japanese biomedical research and graduate education center renowned for its work in infectious diseases, genomics, and advanced medical science.
  • C. Kindai University Hospital
    Kindai University Hospital is a major teaching and research medical center in Japan that provides advanced clinical care as part of Kindai University’s healthcare system.
  • D. Japanese Ministry of Health and Welfare
    The Japanese Ministry of Health and Welfare was a former government ministry of Japan responsible for national public health policy, medical services, and social welfare programs before its functions were merged into the Ministry of Health, Labour and Welfare.
  • E. 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.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba345be48190a1895f388e7749e5 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273ad87c8190a7b1407868692202 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27b2c9d08190b1950abd8d41d3b3 completed March 9, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae2817ce3c81908e48170760cf98ef completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:41 p.m.