Triple

T21917034
Position Surface form Disambiguated ID Type / Status
Subject Osaka Fire Department E541205 entity
Predicate coordinatesWith P1140 FINISHED
Object Osaka municipal hospitals — 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: Osaka municipal hospitals | Statement: [Osaka Fire Department, coordinatesWith, Osaka municipal hospitals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Osaka municipal hospitals
Context triple: [Osaka Fire Department, coordinatesWith, Osaka municipal hospitals]
  • A. Osaka City University Hospital
    Osaka City University Hospital is a major teaching and research hospital in Osaka, Japan, serving as the clinical center for Osaka City University’s medical education and advanced healthcare services.
  • B. Osaka University Hospital
    Osaka University Hospital is a major Japanese academic medical center affiliated with Osaka University, providing advanced clinical care, medical education, and research.
  • C. Kobe University Hospital
    Kobe University Hospital is a major Japanese teaching and research hospital in Kobe that serves as the clinical center for Kobe University’s Faculty of Medicine.
  • D. Tokyo Metropolitan public hospitals
    Tokyo Metropolitan public hospitals are a network of government-run medical institutions in Tokyo that provide essential healthcare services, including advanced and emergency care, to residents and visitors across the metropolis.
  • 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. 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: Osaka municipal hospitals
Target entity description: Osaka municipal hospitals are a network of public medical institutions in Osaka, Japan, providing a wide range of healthcare services and emergency treatment to residents of the city.
  • A. Osaka City University Hospital chosen
    Osaka City University Hospital is a major teaching and research hospital in Osaka, Japan, serving as the clinical center for Osaka City University’s medical education and advanced healthcare services.
  • B. Osaka University Hospital
    Osaka University Hospital is a major Japanese academic medical center affiliated with Osaka University, providing advanced clinical care, medical education, and research.
  • C. Kobe University Hospital
    Kobe University Hospital is a major Japanese teaching and research hospital in Kobe that serves as the clinical center for Kobe University’s Faculty of Medicine.
  • D. Tokyo Metropolitan public hospitals
    Tokyo Metropolitan public hospitals are a network of government-run medical institutions in Tokyo that provide essential healthcare services, including advanced and emergency care, to residents and visitors across the metropolis.
  • 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.

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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233858308190a877d8015db4d380 completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:43 p.m.