Triple

T2924926
Position Surface form Disambiguated ID Type / Status
Subject Central England E78819 entity
Predicate includes P1393 FINISHED
Object Wolverhampton E52585 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: Wolverhampton | Statement: [Central England, includes, Wolverhampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolverhampton
Context triple: [Central England, includes, Wolverhampton]
  • A. Wolverhampton chosen
    Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
  • B. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • C. Telford
    Telford is a large new town in England’s West Midlands, known for its rapid post-war development and proximity to the Ironbridge Gorge World Heritage Site.
  • D. Telford
    Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
  • E. 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.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de8f4d94819086527165d7da11c5 completed March 11, 2026, 9:28 p.m.
Created at: March 8, 2026, 2:55 p.m.