Triple
T34176155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 朝潮橋駅 |
E876676
|
entity |
| Predicate | 最寄施設 |
P178482
|
FINISHED |
| Object | 大阪市中央体育館 |
—
|
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: 大阪市中央体育館 | Statement: [朝潮橋駅, 最寄施設, 大阪市中央体育館]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 最寄施設 Context triple: [朝潮橋駅, 最寄施設, 大阪市中央体育館]
-
A.
最寄商業施設
Indicates that one commercial facility is the nearest or most conveniently located to a given reference point or entity.
-
B.
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.
-
C.
最寄り在来線駅
Indicates the relationship where a given location is associated with its nearest conventional (non-high-speed) railway station.
-
D.
関連施設
Indicates a relationship where one facility is associated with, connected to, or otherwise related to another facility.
-
E.
nearestHut
Indicates that one hut is the closest in distance to a given reference point or entity compared to all other huts.
- F. None of above. chosen
Provenance (4 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:54 a.m.