Triple

T22482404
Position Surface form Disambiguated ID Type / Status
Subject 黒田清子 E555798 entity
Predicate 出生地 P1 FINISHED
Object 宮内庁病院 — NE NERFINISHED

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: 宮内庁病院 | Statement: [黒田清子, 出生地, 宮内庁病院]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 宮内庁病院
Context triple: [黒田清子, 出生地, 宮内庁病院]
  • A. Imperial Household Agency Hospital chosen
    Imperial Household Agency Hospital is a medical facility in Tokyo that serves Japan’s Imperial Family and is located within the grounds of the Imperial Palace.
  • 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. 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.
  • D. 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.
  • E. Tachikawa Sogo Hospital
    Tachikawa Sogo Hospital is a major general medical center located in Tachikawa, Tokyo, providing comprehensive healthcare services to the surrounding region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3a3b688190b41599979d038d85 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.