Triple
T30785832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 広島市現代美術館 |
E783951
|
entity |
| Predicate | バリアフリー対応 |
P1710
|
FINISHED |
| Object | あり |
—
|
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: あり | Statement: [広島市現代美術館, バリアフリー対応, あり]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: バリアフリー対応 Context triple: [広島市現代美術館, バリアフリー対応, あり]
-
A.
accessible
chosen
Indicates that one entity can be reached, entered, used, or understood by another entity, often without undue difficulty or barriers.
-
B.
wheelchairAccessibility
Indicates whether a place, service, or route is accessible and usable by people who use wheelchairs.
-
C.
usesWheelchair
Indicates that an entity relies on or operates a wheelchair for mobility or transportation.
-
D.
hasStepFreeAccess
Indicates that a location, facility, or route can be accessed without using stairs, typically via ramps, lifts, or level entrances.
-
E.
hasWheelchairSpace
Indicates that an object, location, or vehicle includes designated space that can accommodate a wheelchair user.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fe8168c8190b083be0e33988b9c |
completed | May 2, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.