Triple
T30786061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 和歌山県立近代美術館 |
E783957
|
entity |
| Predicate | 展示内容 |
P15144
|
FINISHED |
| Object | 常設展 |
—
|
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: 常設展 | Statement: [和歌山県立近代美術館, 展示内容, 常設展]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 展示内容 Context triple: [和歌山県立近代美術館, 展示内容, 常設展]
-
A.
displayCollection
Indicates that an entity presents or renders a group of related items together as a collection.
-
B.
exhibitFor
Indicates a relationship where something is displayed, presented, or shown for the benefit, use, or consideration of a particular audience, purpose, or entity.
-
C.
exhibitionFunction
Indicates that one entity serves as the function, role, or purpose of an exhibition associated with another entity.
-
D.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
E.
showType
chosen
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
- 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_69f690097c9c81909858e7d8c15474da |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.