Triple
T24790295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東北福祉大学 |
E620232
|
entity |
| Predicate | 付属施設 |
P81092
|
FINISHED |
| Object | 東北福祉大学せんだんホスピタル |
—
|
NE NERFINISHED |
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: 東北福祉大学せんだんホスピタル | Statement: [東北福祉大学, 付属施設, 東北福祉大学せんだんホスピタル]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 付属施設 Context triple: [東北福祉大学, 付属施設, 東北福祉大学せんだんホスピタル]
-
A.
関連施設
chosen
Indicates a relationship where one facility is associated with, connected to, or otherwise related to another facility.
-
B.
amenity
Indicates that one entity provides a useful facility, service, or feature that enhances the convenience or comfort of another entity.
-
C.
associatedSpaceFacility
Indicates that there is a relationship linking an entity to a specific space-related facility with which it is connected or involved.
-
D.
partOfFacility
Indicates that one entity is a component, section, or sub-unit belonging to a larger facility.
-
E.
servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f41102028081909cde16f6e80bc321 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:47 a.m.