Triple

T18786233
Position Surface form Disambiguated ID Type / Status
Subject Little Chalfont E459382 entity
Predicate electoralConstituency P2710 FINISHED
Object Chesham and Amersham 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: Chesham and Amersham | Statement: [Little Chalfont, electoralConstituency, Chesham and Amersham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chesham and Amersham
Context triple: [Little Chalfont, electoralConstituency, Chesham and Amersham]
  • A. Chesham chosen
    Chesham is a market town in the Chiltern Hills of Buckinghamshire, England, known historically for its boot, brush, and woodenware industries.
  • B. Bracknell Forest
    Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
  • C. High Wycombe
    High Wycombe is a large town in Buckinghamshire, England, historically significant as a major furniture-making center and as a key Royal Air Force command location during the Second World War.
  • D. Datchet
    Datchet is a riverside village and civil parish in Berkshire, England, situated on the River Thames near Windsor.
  • 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 (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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5978154ac819096356d2a488b45f0 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:52 a.m.