Triple

T6734710
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Brent E153723 entity
Predicate contains P35 FINISHED
Object Kingsbury E415096 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: Kingsbury | Statement: [London Borough of Brent, contains, Kingsbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingsbury
Context triple: [London Borough of Brent, contains, Kingsbury]
  • A. Kingsbury chosen
    Kingsbury is a suburban district in northwest London, England, known for its residential character and proximity to Wembley.
  • B. Lansbury
    Lansbury is the surname most famously associated with British-American actress and singer Angela Lansbury, renowned for her work in film, theatre, and television.
  • C. Kingsbury Grade
    Kingsbury Grade is a mountain pass in the Sierra Nevada of western Nevada, known for its steep, winding road connecting the Carson Valley with the Lake Tahoe area.
  • D. Kirkley
    Kirkley is a coastal suburb and former village now forming part of the town of Lowestoft in Suffolk, England.
  • E. Kearsley
    Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16ecbe08190b019d547f631a725 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129f2d2c81908102eabbae3935d7 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:09 p.m.