Triple
T5695171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brea, California |
E125520
|
entity |
| Predicate | hasPublicArtPieces |
P1572
|
FINISHED |
| Object | over 180 |
—
|
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: over 180 | Statement: [Brea, California, hasPublicArtPieces, over 180]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicArtPieces Context triple: [Brea, California, hasPublicArtPieces, over 180]
-
A.
hasPublicArtwork
chosen
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
-
B.
hasNearbyPublicArt
Indicates that one entity is located close to another entity that is classified as public art.
-
C.
hasArtInstallation
Indicates that an entity features or contains an art installation as part of its space or composition.
-
D.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
E.
hasArtOrMemorial
Indicates that one entity possesses, contains, or is associated with a work of art or a memorial related to 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.