Triple
T19778027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rancho Park |
E475057
|
entity |
| Predicate | neighboringArea |
P33892
|
FINISHED |
| Object | Westwood |
—
|
NE NERFINISHED |
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: Westwood | Statement: [Rancho Park, neighboringArea, Westwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westwood Context triple: [Rancho Park, neighboringArea, Westwood]
-
A.
Westwood
Westwood is a suburban town in Norfolk County, Massachusetts, known for its residential character and proximity to Boston.
-
B.
Westwood
Westwood is a commuter rail station serving passengers on the Long Island Rail Road’s West Hempstead Branch in Nassau County, New York.
-
C.
Westwood
Westwood is a small unincorporated community in northeastern California known historically as a former lumber mill town.
-
D.
Westwood
Westwood is the surname of Vivienne Westwood, the influential British fashion designer known for pioneering punk and new wave fashion.
-
E.
Westwood
chosen
Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65361a8e08190b52944aab25e45fa |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.