Triple

T598947
Position Surface form Disambiguated ID Type / Status
Subject Theresa May E11449 entity
Predicate parliamentaryConstituencyRepresented P6494 FINISHED
Object Maidenhead E58028 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: Maidenhead | Statement: [Theresa May, parliamentaryConstituencyRepresented, Maidenhead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maidenhead
Context triple: [Theresa May, parliamentaryConstituencyRepresented, Maidenhead]
  • A. Maidenhead chosen
    Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
  • B. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • C. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • D. Windsor and Maidenhead
    Windsor and Maidenhead is a royal borough and unitary authority in Berkshire, England, best known for encompassing the town of Windsor and its historic castle.
  • E. Bracknell
    Bracknell is a town in the English county of Berkshire, known as a post-war New Town and commercial centre in the Thames Valley.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d776c6c819081b41a9b55041cd5 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7edf404008190bde0280a67c12b5a completed March 4, 2026, 8:31 a.m.
Created at: March 1, 2026, 7:35 p.m.