Triple

T17673495
Position Surface form Disambiguated ID Type / Status
Subject DY postcode area E440585 entity
Predicate coversTown P847 FINISHED
Object Halesowen 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: Halesowen | Statement: [DY postcode area, coversTown, Halesowen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halesowen
Context triple: [DY postcode area, coversTown, Halesowen]
  • A. Halesowen chosen
    Halesowen is a town in the West Midlands of England, historically part of Worcestershire, known for its industrial heritage and proximity to Birmingham.
  • B. Wednesbury
    Wednesbury is an industrial town in the West Midlands of England, historically known for its manufacturing and coal mining heritage.
  • C. 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.
  • D. Smethwick
    Smethwick is an industrial town in the West Midlands of England, historically known for its role in the Industrial Revolution and later incorporated into the metropolitan borough of Sandwell.
  • E. 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.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6aa64081908c9a82128a5a9024 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.