Triple

T22949473
Position Surface form Disambiguated ID Type / Status
Subject Burntwood E569969 entity
Predicate locatedNear P294 FINISHED
Object Brownhills NE NERFINISHED

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: Brownhills | Statement: [Burntwood, locatedNear, Brownhills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brownhills
Context triple: [Burntwood, locatedNear, Brownhills]
  • A. Brownhills chosen
    Brownhills is a town in the West Midlands of England, historically associated with coal mining and located near Walsall and Cannock Chase.
  • B. Brierley Hill
    Brierley Hill is a town in the West Midlands of England, historically part of the industrial Black Country and known for its glassmaking and manufacturing heritage.
  • C. Sutton Coldfield
    Sutton Coldfield is a suburban town within the city of Birmingham in England’s West Midlands, known for its large urban park and affluent residential areas.
  • D. Solihull
    Solihull is a large town and metropolitan borough in England known for its affluent suburbs, historic architecture, and proximity to Birmingham in the West Midlands.
  • E. Wednesbury
    Wednesbury is an industrial town in the West Midlands of England, historically known for its manufacturing and coal mining heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a085188190b06ffa227087302d completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.