Triple
T570899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Hollywood |
E13659
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | WeHo |
E13659
|
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: WeHo | Statement: [West Hollywood, nickname, WeHo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WeHo Context triple: [West Hollywood, nickname, WeHo]
-
A.
Los Feliz
Los Feliz is a historic and trendy neighborhood in central Los Angeles known for its hillside homes, proximity to Griffith Park, and vibrant dining and nightlife scene.
-
B.
West Hollywood
chosen
West Hollywood is an independent city in Los Angeles County known for its vibrant nightlife, LGBTQ+ community, and iconic Sunset Strip.
-
C.
Pacific Palisades
Pacific Palisades is an affluent coastal neighborhood on Los Angeles’ Westside known for its ocean views, canyon landscapes, and small-town feel.
-
D.
East Hollywood
East Hollywood is a diverse, densely populated neighborhood in central Los Angeles known for its mix of residential areas, ethnic enclaves, and proximity to major Hollywood landmarks.
-
E.
Hollywood Hills
Hollywood Hills is a wealthy, hillside residential neighborhood in Los Angeles known for its panoramic city views and iconic association with the entertainment industry.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b483ac08190b3be152a7cf42011 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acddf440848190aa5019ffcedd4859 |
completed | March 8, 2026, 2:24 a.m. |
Created at: March 1, 2026, 7:33 p.m.