Triple

T21372371
Position Surface form Disambiguated ID Type / Status
Subject Showa University E527098 entity
Predicate hasAffiliatedInstitution P1933 FINISHED
Object Showa University Hospital 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: Showa University Hospital | Statement: [Showa University, hasAffiliatedInstitution, Showa University Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Showa University Hospital
Context triple: [Showa University, hasAffiliatedInstitution, Showa University Hospital]
  • A. Jikei University Hospital
    Jikei University Hospital is a major teaching and research hospital in Tokyo, Japan, known for providing advanced medical care as part of the Jikei University School of Medicine.
  • B. Kitasato Institute Hospital
    Kitasato Institute Hospital is a major teaching and research-oriented medical center in Japan affiliated with the Kitasato Institute and Kitasato University.
  • C. Tokyo Medical and Dental University Hospital
    Tokyo Medical and Dental University Hospital is a major Japanese teaching and research hospital in Tokyo known for advanced medical care, particularly in medical and dental specialties.
  • D. Keio University Hospital
    Keio University Hospital is a major teaching and research hospital in Tokyo, Japan, affiliated with Keio University’s School of Medicine and known for providing advanced, specialized medical care.
  • E. Juntendo University Hospital
    Juntendo University Hospital is a major teaching and research medical center in Japan known for providing advanced clinical care and training healthcare professionals.
  • 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: Showa University Hospital
Target entity description: Showa University Hospital is a major teaching and research hospital in Japan that provides advanced medical care as part of the Showa University medical system.
  • A. Jikei University Hospital
    Jikei University Hospital is a major teaching and research hospital in Tokyo, Japan, known for providing advanced medical care as part of the Jikei University School of Medicine.
  • B. Kitasato Institute Hospital
    Kitasato Institute Hospital is a major teaching and research-oriented medical center in Japan affiliated with the Kitasato Institute and Kitasato University.
  • C. Tokyo Medical and Dental University Hospital
    Tokyo Medical and Dental University Hospital is a major Japanese teaching and research hospital in Tokyo known for advanced medical care, particularly in medical and dental specialties.
  • D. Keio University Hospital
    Keio University Hospital is a major teaching and research hospital in Tokyo, Japan, affiliated with Keio University’s School of Medicine and known for providing advanced, specialized medical care.
  • E. Juntendo University Hospital
    Juntendo University Hospital is a major teaching and research medical center in Japan known for providing advanced clinical care and training healthcare professionals.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0b0d5ec81908da8f38380dbdc7a completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.