Triple
T11402896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Angelo, Texas |
E270159
|
entity |
| Predicate | hasArtsScene |
P60146
|
FINISHED |
| Object | public art and murals |
—
|
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: public art and murals | Statement: [San Angelo, Texas, hasArtsScene, public art and murals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtsScene Context triple: [San Angelo, Texas, hasArtsScene, public art and murals]
-
A.
hasArtScene
chosen
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
B.
hasArtDistrict
Indicates that a place or region contains or is associated with a designated art district area.
-
C.
culturalScene
Indicates a relationship where an entity is associated with, participates in, or characterizes a particular cultural environment, milieu, or set of cultural activities.
-
D.
hasNearbyCulturalDistrict
Indicates that an entity is located close to a designated cultural district or area with concentrated cultural activities.
-
E.
hasCulturalAttractions
Indicates that a place or entity possesses notable cultural points of interest, such as museums, theaters, historic sites, or artistic venues.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8014ab46881909fa1d425926c617b |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.