Triple

T19180843
Position Surface form Disambiguated ID Type / Status
Subject University of Tokushima E469566 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Medicine — NE NERFINISHED

How this triple was built (3 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 | Statement: [University of Tokushima, hasFaculty, Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faculty of Medicine
Context triple: [University of Tokushima, hasFaculty, Faculty of Medicine]
  • A. Faculty of Medicine
    The Faculty of Medicine at the University of Bonn is the university’s medical school, responsible for medical education, clinical training, and biomedical research.
  • B. Faculty of Medicine
    The Faculty of Medicine at the University of Helsinki is a leading Finnish medical education and research institution training physicians, dentists, and other health professionals while conducting advanced biomedical and clinical research.
  • C. Faculty of Medicine
    The Faculty of Medicine at Tel Aviv University is a leading Israeli medical school and research institution known for training physicians and advancing biomedical and clinical research.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Bergen is a major academic division responsible for education and research in medical and health sciences.
  • E. Faculty of Medicine
    The Faculty of Medicine at the University of Sarajevo is a leading Bosnian higher education institution dedicated to training medical professionals and advancing biomedical research.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faculty of Medicine
Target entity description: The Faculty of Medicine at the University of Tokushima is a medical school and research institution in Japan that educates future physicians and advances medical science and healthcare.
  • A. Faculty of Medicine
    The Faculty of Medicine at Tohoku University is a leading Japanese medical school and research institution known for its contributions to clinical medicine and biomedical science.
  • B. Faculty of Medicine
    The Faculty of Medicine at the University of Tokyo is a leading Japanese medical school renowned for its research, clinical training, and contributions to medical science and healthcare policy.
  • C. Faculty of Medicine
    The Faculty of Medicine at Kagoshima University is a medical school in Japan that provides education and research in medicine and related health sciences.
  • D. Faculty of Medicine
    The Faculty of Medicine at Juntendo University is a medical school in Japan known for training physicians and conducting research in clinical and biomedical sciences.
  • E. Faculty of Medicine
    The Faculty of Medicine at Kyushu University is a major Japanese medical school and research institution known for training physicians and advancing biomedical and clinical research.
  • F. None of above. chosen

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61be86c81908710341262e911cd completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.