Triple
T7260339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauley Pavilion |
E159632
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object | Westwood |
E19989
|
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: Westwood | Statement: [Pauley Pavilion, neighborhood, Westwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westwood Context triple: [Pauley Pavilion, neighborhood, Westwood]
-
A.
Westwood
Westwood is a commuter rail station serving passengers on the Long Island Rail Road’s West Hempstead Branch in Nassau County, New York.
-
B.
Westwood
chosen
Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
-
C.
Westwood
Westwood is a suburban town in Norfolk County, Massachusetts, known for its residential character and proximity to Boston.
-
D.
Westwood
Westwood is a fictional locale within the Neighborhood of Make-Believe, the puppet-populated fantasy world from the children's television series "Mister Rogers' Neighborhood."
-
E.
Upland
Upland is a suburban city in Southern California’s Inland Empire, located at the foot of the San Gabriel Mountains.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac5311c819094fc6880f3152813 |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3bda4808190810f2d170cb693b9 |
completed | March 28, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:57 p.m.