Triple

T21372373
Position Surface form Disambiguated ID Type / Status
Subject Showa University E527098 entity
Predicate hasAffiliatedInstitution P1933 FINISHED
Object Showa University Northern Yokohama 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 Northern Yokohama Hospital | Statement: [Showa University, hasAffiliatedInstitution, Showa University Northern Yokohama Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Showa University Northern Yokohama Hospital
Context triple: [Showa University, hasAffiliatedInstitution, Showa University Northern Yokohama Hospital]
  • A. Yokohama City University Hospital
    Yokohama City University Hospital is a major teaching and general medical center in Yokohama, Japan, providing advanced clinical care and serving as a core facility for medical education and research.
  • B. Showa University Hospital
    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.
  • C. 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.
  • D. Juntendo University Shizuoka Hospital
    Juntendo University Shizuoka Hospital is a major teaching and medical facility in Shizuoka Prefecture, Japan, operated by Juntendo University’s medical faculty.
  • E. 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.
  • 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 Northern Yokohama Hospital
Target entity description: Showa University Northern Yokohama Hospital is a teaching and general medical hospital in northern Yokohama, Japan, providing a wide range of clinical services and serving as a training site for medical professionals affiliated with Showa University.
  • A. Yokohama City University Hospital
    Yokohama City University Hospital is a major teaching and general medical center in Yokohama, Japan, providing advanced clinical care and serving as a core facility for medical education and research.
  • B. Showa University Hospital chosen
    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.
  • C. 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.
  • D. Juntendo University Shizuoka Hospital
    Juntendo University Shizuoka Hospital is a major teaching and medical facility in Shizuoka Prefecture, Japan, operated by Juntendo University’s medical faculty.
  • E. 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.
  • F. None of above.

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.