Triple

T2747146
Position Surface form Disambiguated ID Type / Status
Subject Down and Out in Beverly Hills E60895 entity
Predicate setInLocation P40 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: [Down and Out in Beverly Hills, setInLocation, Beverly Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beverly Hills
Context triple: [Down and Out in Beverly Hills, setInLocation, Beverly Hills]
  • A. Beverly Hills
    Beverly Hills is a residential neighborhood within Upper Darby Township, Pennsylvania, known for its suburban character and proximity to Philadelphia.
  • B. 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.
  • C. Beverly Hills
    Beverly Hills is a commuter rail station in Chicago, Illinois, serving Metra's Rock Island District line.
  • D. West Hollywood
    West Hollywood is an independent city in Los Angeles County known for its vibrant nightlife, LGBTQ+ community, and iconic Sunset Strip.
  • E. Santa Monica
    Santa Monica is a coastal city in western Los Angeles County, California, known for its iconic pier, beaches, and vibrant tourism and entertainment scene.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69b261cda3ac8190b8770e554a66f560 completed March 12, 2026, 6:48 a.m.
Created at: March 6, 2026, 9:56 p.m.