Triple
T6917460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Fernando Valley |
E160096
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Winnetka |
E569855
|
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: Winnetka | Statement: [San Fernando Valley, contains, Winnetka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winnetka Context triple: [San Fernando Valley, contains, Winnetka]
-
A.
Winnetka
chosen
Winnetka is a residential neighborhood in the west-central San Fernando Valley region of Los Angeles, known for its suburban character and diverse community.
-
B.
Winnetka Heights
Winnetka Heights is a historic residential neighborhood in the Oak Cliff area of Dallas, Texas, known for its early-20th-century homes and preservation efforts.
-
C.
Winnetka, Illinois
Winnetka, Illinois is an affluent North Shore suburb of Chicago known for its picturesque residential character, lakeside location, and highly ranked public schools.
-
D.
Oak Park
Oak Park is a public recreational park located in Stockton, California, offering green space and outdoor amenities for the local community.
-
E.
Lake Forest
Lake Forest is a suburban city in Orange County, California, known for its residential communities, parks, and proximity to major Southern California employment centers.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e034cc81908f1e8f31b055e119 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7584fa7208190a0c5338e20518578 |
completed | March 28, 2026, 4:25 a.m. |
Created at: March 27, 2026, 2:26 p.m.