Triple

T18231576
Position Surface form Disambiguated ID Type / Status
Subject Bronson Caves E436554 entity
Predicate near P350 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: [Bronson Caves, near, Los Feliz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Feliz
Context triple: [Bronson Caves, near, 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b3495881909f2a3f3a8db43792 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.