Triple

T10082960
Position Surface form Disambiguated ID Type / Status
Subject Richard Wattis E213947 entity
Predicate placeOfBirth P1 FINISHED
Object Wednesbury E742858 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: Wednesbury | Statement: [Richard Wattis, placeOfBirth, Wednesbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wednesbury
Context triple: [Richard Wattis, placeOfBirth, Wednesbury]
  • A. Wednesbury chosen
    Wednesbury is an industrial town in the West Midlands of England, historically known for its manufacturing and coal mining heritage.
  • B. 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.
  • C. Halesowen
    Halesowen is a town in the West Midlands of England, historically part of Worcestershire, known for its industrial heritage and proximity to Birmingham.
  • D. 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.
  • 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 (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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b66b256c8190861066f7c19008d2 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.