Triple
T13347825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya City University Hospital |
E318001
|
entity |
| Predicate | typeOfHealthcareInstitution |
P30483
|
FINISHED |
| Object | tertiary care hospital |
—
|
LITERAL FINISHED |
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: tertiary care hospital | Statement: [Nagoya City University Hospital, typeOfHealthcareInstitution, tertiary care hospital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHealthcareInstitution Context triple: [Nagoya City University Hospital, typeOfHealthcareInstitution, tertiary care hospital]
-
A.
healthcareType
Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
-
B.
hasHospitalType
chosen
Indicates that a hospital is classified as belonging to a specific type or category (e.g., general, specialized, teaching).
-
C.
isPublicHospital
Indicates that a hospital is owned, funded, or operated by a government or public authority rather than by private entities.
-
D.
designatedAsFlagshipHospitalFor
Indicates that one hospital has been officially selected or recognized as the primary or leading flagship institution for another entity (such as a health system, region, or organization).
-
E.
healthSystem
Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
- F. None of above.
Provenance (3 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.