Triple

T12047250
Position Surface form Disambiguated ID Type / Status
Subject CM postcode area E286818 entity
Predicate covers P1393 FINISHED
Object Brentwood E168876 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: Brentwood | Statement: [CM postcode area, covers, Brentwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brentwood
Context triple: [CM postcode area, covers, Brentwood]
  • A. Brentwood chosen
    Brentwood is a suburban town in southeastern England known for its commuter links to London and surrounding countryside.
  • B. Brentwood
    Brentwood is a residential borough in Allegheny County, Pennsylvania, situated within the South Hills region just south of Pittsburgh.
  • C. Brentwood
    Brentwood is a residential neighborhood in Northeast Washington, D.C., known for its proximity to downtown and its mix of housing, commercial areas, and transit access.
  • D. Brentwood
    Brentwood is a suburban city in Contra Costa County, California, known for its rapidly growing residential communities and agricultural roots, particularly its orchards and vineyards.
  • E. Brentwood
    Brentwood is an affluent residential neighborhood on the Westside of Los Angeles known for its tree-lined streets, upscale homes, and proximity to the Santa Monica Mountains.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904211b588190bfc7603e5b33dcb7 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dc459308190bc88cb550e1d5b86 completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.