Triple
T21372375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Showa University |
E527098
|
entity |
| Predicate | hasAffiliatedInstitution |
P1933
|
FINISHED |
| Object | Showa University Koto Toyosu 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 Koto Toyosu Hospital | Statement: [Showa University, hasAffiliatedInstitution, Showa University Koto Toyosu Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Showa University Koto Toyosu Hospital Context triple: [Showa University, hasAffiliatedInstitution, Showa University Koto Toyosu Hospital]
-
A.
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.
-
B.
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.
-
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.
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.
-
E.
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.
- 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 Koto Toyosu Hospital Target entity description: Showa University Koto Toyosu Hospital is a major teaching and general medical hospital in Tokyo, Japan, providing advanced clinical care and serving as a training site for healthcare professionals.
-
A.
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.
-
B.
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.
-
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.
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.
-
E.
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.
- 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.