Triple
T13560444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amata |
E323892
|
entity |
| Predicate | hasArtCentreEstablishedFor |
P110360
|
FINISHED |
| Object | supporting local artists |
—
|
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: supporting local artists | Statement: [Amata, hasArtCentreEstablishedFor, supporting local artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtCentreEstablishedFor Context triple: [Amata, hasArtCentreEstablishedFor, supporting local artists]
-
A.
hasArtCenter
Indicates that an entity possesses, hosts, or includes an art center as one of its facilities or components.
-
B.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
C.
hasMuseumAt
Indicates that a museum is located at or exists in a specified place or location.
-
D.
hasCulturalCentre
Indicates that one entity possesses, hosts, or contains a cultural centre associated with it.
-
E.
hasArtGallery
Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbbb8c77dc8190b7bd803b5e168d23 |
completed | April 12, 2026, 3:34 p.m. |
Created at: April 9, 2026, 9:47 p.m.