Triple

T12014331
Position Surface form Disambiguated ID Type / Status
Subject Princess Square E285984 entity
Predicate isPartOf P10 FINISHED
Object Bracknell town centre E58983 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: Bracknell town centre | Statement: [Princess Square, isPartOf, Bracknell town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bracknell town centre
Context triple: [Princess Square, isPartOf, Bracknell town centre]
  • A. Bracknell chosen
    Bracknell is a town in the English county of Berkshire, known as a post-war New Town and commercial centre in the Thames Valley.
  • 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. Brackley
    Brackley is a historic market town in southern Northamptonshire, England, known for its medieval origins and proximity to the Silverstone motor racing circuit.
  • D. Datchet
    Datchet is a riverside village and civil parish in Berkshire, England, situated on the River Thames near Windsor.
  • E. Potters Bar
    Potters Bar is a commuter town in southern England, located just north of London and known for its residential character and transport links.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d884488190b4450a98088208ef completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d4156ec8190bfc6d1180ac41d06 completed May 1, 2026, 12:32 p.m.
Created at: April 8, 2026, 9:46 p.m.