Triple

T138792
Position Surface form Disambiguated ID Type / Status
Subject Thai Town E2806 entity
Predicate partOf P40 FINISHED
Object East Hollywood E15383 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: East Hollywood | Statement: [Thai Town, partOf, East Hollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East Hollywood
Context triple: [Thai Town, partOf, East Hollywood]
  • A. East Hollywood chosen
    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.
  • 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. 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.
  • D. Echo Park
    Echo Park is a historic and culturally vibrant neighborhood in central Los Angeles known for its namesake lake, hillside streets, and creative community.
  • E. Downtown Los Angeles
    Downtown Los Angeles is the central business, cultural, and historic core of Los Angeles, known for its skyscrapers, arts and entertainment venues, and diverse neighborhoods.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a800148190be119d1d075869b8 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3914a01d8819083604dfc0844c0e1 completed March 1, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.