Triple

T18608523
Position Surface form Disambiguated ID Type / Status
Subject Cannock Chase District E454822 entity
Predicate contains P35 FINISHED
Object Great Wyrley (part) 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: Great Wyrley (part) | Statement: [Cannock Chase District, contains, Great Wyrley (part)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Wyrley (part)
Context triple: [Cannock Chase District, contains, Great Wyrley (part)]
  • A. Wyrley chosen
    Wyrley is a village in Staffordshire, England, historically associated with local coal mining and served by the Wyrley and Essington Canal.
  • B. Broseley
    Broseley is a small historic town in Shropshire, England, known for its role in the early Industrial Revolution and its proximity to the Ironbridge Gorge World Heritage Site.
  • C. Barnt Green
    Barnt Green is a village in Worcestershire, England, known as a commuter settlement south of Birmingham with good rail links and surrounding countryside.
  • 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. Bilston Glen
    Bilston Glen is a wooded valley in Midlothian, Scotland, known for its ancient woodland, wildlife, and history of environmental protest.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54cff3be8819080ab20045bd18a4d completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.