Triple
T30786049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 和歌山県立近代美術館 |
E783957
|
entity |
| Predicate | 隣接施設 |
P231
|
FINISHED |
| Object | 和歌山県立博物館 |
—
|
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: 和歌山県立博物館 | Statement: [和歌山県立近代美術館, 隣接施設, 和歌山県立博物館]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 隣接施設 Context triple: [和歌山県立近代美術館, 隣接施設, 和歌山県立博物館]
-
A.
関連施設
Indicates a relationship where one facility is associated with, connected to, or otherwise related to another facility.
-
B.
隣接駅
Indicates that one station is directly adjacent to another station along a railway line.
-
C.
adjacentToInfrastructure
chosen
Indicates that one entity is located directly next to or in immediate proximity to a piece of infrastructure.
-
D.
最寄娯楽施設
Indicates that one entity is the nearest entertainment facility (such as a theater, arcade, or amusement venue) relative to another entity or location.
-
E.
amenity
Indicates that one entity provides a useful facility, service, or feature that enhances the convenience or comfort of another entity.
- 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.