Triple
T7291920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goleta |
E164416
|
entity |
| Predicate | hasNearbyCommunity |
P4647
|
FINISHED |
| Object | Isla Vista |
E147374
|
NE 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: Isla Vista | Statement: [Goleta, hasNearbyCommunity, Isla Vista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isla Vista Context triple: [Goleta, hasNearbyCommunity, Isla Vista]
-
A.
Isla Vista
chosen
Isla Vista is a densely populated coastal college town adjacent to the University of California, Santa Barbara, known for its student population and vibrant party culture.
-
B.
Claremont
Claremont is a suburb of Hobart in Tasmania, Australia, known for its residential character and proximity to the Derwent River.
-
C.
Claremont
Claremont is a residential neighbourhood within the city of Pickering in Ontario, Canada.
-
D.
Claremont
Claremont is a residential area within the City of Salford in Greater Manchester, England.
-
E.
Claremont, California
Claremont, California is a suburban city in eastern Los Angeles County known for its consortium of prestigious colleges, tree-lined streets, and vibrant academic community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6e8f3881908628b3d41aad70c6 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e53ab41c8190b081e90fa6a1145c |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.