Triple
T21452116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Miyazaki |
E529235
|
entity |
| Predicate | hasAffiliatedHospital |
P20607
|
FINISHED |
| Object | University of Miyazaki 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: University of Miyazaki Hospital | Statement: [University of Miyazaki, hasAffiliatedHospital, University of Miyazaki Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Miyazaki Hospital Context triple: [University of Miyazaki, hasAffiliatedHospital, University of Miyazaki Hospital]
-
A.
Kagoshima University Hospital
Kagoshima University Hospital is a major Japanese teaching and research hospital that provides advanced medical care as the clinical center of Kagoshima University’s medical faculty.
-
B.
Tokushima University Hospital
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.
-
C.
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.
-
D.
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.
-
E.
Nagoya City University Hospital
Nagoya City University Hospital is a major teaching and research hospital in Nagoya, Japan, providing advanced medical care as the clinical arm of Nagoya City 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: University of Miyazaki Hospital Target entity description: University of Miyazaki Hospital is a major teaching and research medical center in Miyazaki, Japan, providing advanced clinical care while serving as a training facility for medical professionals.
-
A.
Kagoshima University Hospital
Kagoshima University Hospital is a major Japanese teaching and research hospital that provides advanced medical care as the clinical center of Kagoshima University’s medical faculty.
-
B.
Tokushima University Hospital
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.
-
C.
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.
-
D.
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.
-
E.
Nagoya City University Hospital
Nagoya City University Hospital is a major teaching and research hospital in Nagoya, Japan, providing advanced medical care as the clinical arm of Nagoya City University.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d426d88190ae87ae9fac9c30a0 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:07 p.m.