Triple
T33079452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukui district |
E846466
|
entity |
| Predicate | localCommunityArea |
P29451
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Fukui district, localCommunityArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localCommunityArea Context triple: [Fukui district, localCommunityArea, true]
-
A.
withinCommunityAreaSystem
Indicates that an entity is located inside or falls under the spatial or organizational scope of a defined community area system.
-
B.
languageLocalCommunities
Indicates that a language is used, maintained, or holds significance within specific local communities or regions.
-
C.
boroughOrCommunityArea
chosen
Indicates that one place is a borough or community area subdivision within the jurisdiction or boundaries of another place.
-
D.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
E.
communityAreaNumber
Indicates the specific numbered community area to which an entity is assigned or associated.
- 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_69f34954d46c8190a04a159cc5f99efd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 1:25 a.m.