Triple

T19180859
Position Surface form Disambiguated ID Type / Status
Subject University of Tokushima E469566 entity
Predicate hasAffiliatedHospital P20607 FINISHED
Object Tokushima 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: Tokushima University Hospital | Statement: [University of Tokushima, hasAffiliatedHospital, Tokushima University Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokushima University Hospital
Context triple: [University of Tokushima, hasAffiliatedHospital, Tokushima University Hospital]
  • A. Tohoku University Hospital
    Tohoku University Hospital is a major teaching and research hospital in Sendai, Japan, serving as the clinical center for Tohoku University’s medical education and advanced healthcare.
  • B. 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.
  • C. Nagasaki University Hospital
    Nagasaki University Hospital is a major teaching and research hospital in Nagasaki, Japan, serving as the primary clinical center for Nagasaki University’s medical education and advanced healthcare services.
  • D. Hokkaido University Hospital
    Hokkaido University Hospital is a major teaching and research medical center in Sapporo, Japan, providing advanced clinical care and serving as the primary hospital of Hokkaido University.
  • E. Kyushu University Hospital
    Kyushu University Hospital is a major teaching and research medical center in Fukuoka, Japan, affiliated with Kyushu University and providing advanced clinical care across a wide range of 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: Tokushima University Hospital
Target entity description: Tokushima University Hospital is a major Japanese teaching and research hospital serving as the clinical center for the University of Tokushima’s medical and health sciences programs.
  • A. Tohoku University Hospital
    Tohoku University Hospital is a major teaching and research hospital in Sendai, Japan, serving as the clinical center for Tohoku University’s medical education and advanced healthcare.
  • B. 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.
  • C. Nagasaki University Hospital
    Nagasaki University Hospital is a major teaching and research hospital in Nagasaki, Japan, serving as the primary clinical center for Nagasaki University’s medical education and advanced healthcare services.
  • D. Hokkaido University Hospital
    Hokkaido University Hospital is a major teaching and research medical center in Sapporo, Japan, providing advanced clinical care and serving as the primary hospital of Hokkaido University.
  • E. Kyushu University Hospital
    Kyushu University Hospital is a major teaching and research medical center in Fukuoka, Japan, affiliated with Kyushu University and providing advanced clinical care across a wide range of specialties.
  • 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.