Triple
T12536289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thurston |
E299698
|
entity |
| Predicate | hasLocalCommunityAmenities |
P80014
|
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: [Thurston, hasLocalCommunityAmenities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalCommunityAmenities Context triple: [Thurston, hasLocalCommunityAmenities, true]
-
A.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
B.
hasLocalCommunities
Indicates that an entity is associated with or contains smaller, localized community groups within a specific area or region.
-
C.
hasCivicAmenity
chosen
Indicates that an entity possesses, provides, or is associated with a public facility or service intended for community use.
-
D.
hasCommunityCentre
Indicates that a place or area possesses or is served by a community centre facility.
-
E.
hasRecreationalUseNearby
Indicates that there is at least one location or facility for recreational activities situated close to the referenced 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.