Triple

T2757226
Position Surface form Disambiguated ID Type / Status
Subject Bracknell Forest E61129 entity
Predicate contains P35 FINISHED
Object North Ascot E41950 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: North Ascot | Statement: [Bracknell Forest, contains, North Ascot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Ascot
Context triple: [Bracknell Forest, contains, North Ascot]
  • A. Englefield Green
    Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
  • B. Ascot chosen
    Ascot is a village in Berkshire, England, best known for its prestigious racecourse and the annual Royal Ascot horse racing event.
  • C. Chobham
    Chobham is a village and civil parish in Surrey, England, known for its rural character, common land, and historic buildings.
  • D. Datchet
    Datchet is a riverside village and civil parish in Berkshire, England, situated on the River Thames near Windsor.
  • E. Topham Park
    Topham Park is a residential neighbourhood in the former borough of East York in Toronto, Ontario, known for its quiet streets and family-oriented community.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb8ba4688190b401b6eb5b734ac6 completed March 7, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdf650c8190baa020143b51f94b completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:57 p.m.