Triple

T14824210
Position Surface form Disambiguated ID Type / Status
Subject Beverly Hills Cop: Axel F E348528 entity
Predicate hasSetting P3538 FINISHED
Object Beverly Hills E164932 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: Beverly Hills | Statement: [Beverly Hills Cop: Axel F, hasSetting, Beverly Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beverly Hills
Context triple: [Beverly Hills Cop: Axel F, hasSetting, Beverly Hills]
  • A. Beverly Hills chosen
    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.
  • B. Beverly Hills
    Beverly Hills is a residential neighborhood within Upper Darby Township, Pennsylvania, known for its suburban character and proximity to Philadelphia.
  • C. Beverly Hills
    Beverly Hills is a commuter rail station in Chicago, Illinois, serving Metra's Rock Island District line.
  • D. Beverly Hills
    Beverly Hills is an upscale residential community in the Parish of St. Andrew, Jamaica, known for its affluent homes and scenic hillside location overlooking Kingston.
  • 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 (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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe7a8dc8190bcb5ecfa1cbf1601 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fab7bc8190af55cc6ec5eafb65 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:51 a.m.