Triple
T16194964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashby station |
E393037
|
entity |
| Predicate | hasArtOrPlaza |
P13926
|
FINISHED |
| Object | Ashby BART parking lot and flea market area |
—
|
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: Ashby BART parking lot and flea market area | Statement: [Ashby station, hasArtOrPlaza, Ashby BART parking lot and flea market area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtOrPlaza Context triple: [Ashby station, hasArtOrPlaza, Ashby BART parking lot and flea market area]
-
A.
hasPlaza
chosen
Indicates that an entity includes, contains, or is associated with a plaza as part of its structure or grounds.
-
B.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
C.
hasArtDistrict
Indicates that a place or region contains or is associated with a designated art district area.
-
D.
hasArtGallery
Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
-
E.
hasArtCenter
Indicates that an entity possesses, hosts, or includes an art center as one of its facilities or components.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d851188190b2452d165e4fc4bd |
completed | April 17, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.