Triple

T747908
Position Surface form Disambiguated ID Type / Status
Subject East Hollywood E15383 entity
Predicate adjacentTo P224 FINISHED
Object Los Feliz E156803 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: Los Feliz | Statement: [East Hollywood, adjacentTo, Los Feliz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Feliz
Context triple: [East Hollywood, 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. West Hollywood
    West Hollywood is an independent city in Los Angeles County known for its vibrant nightlife, LGBTQ+ community, and iconic Sunset Strip.
  • C. Mar Vista
    Mar Vista is a primarily residential neighborhood on the Westside of Los Angeles known for its quiet streets, mid-century homes, and proximity to coastal areas like Venice.
  • D. San Fernando Valley
    San Fernando Valley is a large urbanized region in Los Angeles County known for its extensive residential neighborhoods, entertainment industry studios, and major transportation corridors.
  • E. Pacific Palisades
    Pacific Palisades is an affluent coastal neighborhood on Los Angeles’ Westside known for its ocean views, canyon landscapes, and small-town feel.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62dd1bc819094a3814654448ae3 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5371c2c8190861a5cbf9d089e4f completed March 8, 2026, 2:55 a.m.
Created at: March 1, 2026, 7:37 p.m.