Triple

T22221630
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Maidenhead E549223 entity
Predicate jurisdiction P82 FINISHED
Object Maidenhead 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: Maidenhead | Statement: [Mayor of Maidenhead, jurisdiction, Maidenhead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maidenhead
Context triple: [Mayor of Maidenhead, jurisdiction, 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. Aylesbury
    Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
  • C. Amersham
    Amersham is a historic market town in southeast England known for its picturesque old town, Chilterns countryside setting, and role as a commuter hub into London.
  • D. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • E. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b90b1dc81908fee5fab8d5d14a2 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.