Triple

T9891684
Position Surface form Disambiguated ID Type / Status
Subject Department of Medical Informatics E181463 entity
Predicate affiliation P10 FINISHED
Object Faculty of Medicine, The University of Tokyo E183993 NE FINISHED

How this triple was built (2 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 Medicine, The University of Tokyo | Statement: [Department of Medical Informatics, affiliation, Faculty of Medicine, The University of Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faculty of Medicine, The University of Tokyo
Context triple: [Department of Medical Informatics, affiliation, Faculty of Medicine, The University of Tokyo]
  • A. Faculty of Medicine, The University of Tokyo chosen
    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. Keio University School of Medicine
    Keio University School of Medicine is a prestigious Japanese medical school within Keio University, renowned for its research, clinical education, and contributions to advanced medical science.
  • D. Kyoto University Graduate School of Medicine
    Kyoto University Graduate School of Medicine is a leading Japanese medical graduate school renowned for its advanced research, clinical training, and education in medicine and related health sciences.
  • E. Tohoku University School of Medicine
    Tohoku University School of Medicine is a leading Japanese medical school and research institution known for its advanced clinical training and contributions to biomedical science.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47f69588190924a078ea88c97ef completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dbe24a64819098bc94a8a62cc46b completed April 10, 2026, 11:15 a.m.
Created at: March 30, 2026, 8:39 p.m.