Triple

T3396799
Position Surface form Disambiguated ID Type / Status
Subject Halloween Carnaval E71547 entity
Predicate organizer P123 FINISHED
Object City of West Hollywood 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: City of West Hollywood | Statement: [Halloween Carnaval, organizer, City of West Hollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of West Hollywood
Context triple: [Halloween Carnaval, organizer, City of West Hollywood]
  • A. West Hollywood chosen
    West Hollywood is an independent city in Los Angeles County known for its vibrant nightlife, LGBTQ+ community, and iconic Sunset Strip.
  • B. Culver City
    Culver City is an independent city in western Los Angeles County, California, known for its historic film and television studios and vibrant arts and dining scene.
  • C. Beverly Hills
    Beverly Hills is an affluent city in Los Angeles County, California, known for its luxury lifestyle, high-end shopping on Rodeo Drive, and status as a prominent enclave for wealthy residents and celebrities.
  • D. Beverly Hills
    Beverly Hills is a residential neighborhood within Upper Darby Township, Pennsylvania, known for its suburban character and proximity to Philadelphia.
  • E. Beverly Hills
    Beverly Hills is a commuter rail station in Chicago, Illinois, serving Metra's Rock Island District line.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8c4099081908a236376b4f86900 completed March 8, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db5d2fcc8190818b79d873cebcf6 completed March 14, 2026, 10:04 p.m.
Created at: March 8, 2026, 3:14 p.m.