Triple
T18023923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Lake |
E431197
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Los Feliz |
—
|
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: Los Feliz | Statement: [Silver Lake, adjacentTo, Los Feliz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Feliz Context triple: [Silver Lake, adjacentTo, Los Feliz]
-
A.
Los Feliz
chosen
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.
Encino
Encino is a residential neighborhood in the San Fernando Valley region of Los Angeles known for its suburban character, affluent homes, and proximity to major city amenities.
-
C.
Encino
Encino is a small rural village located in Torrance County in central New Mexico, United States.
-
D.
Encino Park
Encino Park is a neighborhood public park in the Encino area of Los Angeles, known for its recreational facilities and green space for local residents.
-
E.
West Hollywood
West Hollywood is an independent city in Los Angeles County known for its vibrant nightlife, LGBTQ+ community, and iconic Sunset Strip.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c475dc819086c4cd86d663791f |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.