Triple

T1778017
Position Surface form Disambiguated ID Type / Status
Subject Bicester E39224 entity
Predicate hasFeature P182 FINISHED
Object Bicester Village E39224 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: Bicester Village | Statement: [Bicester, hasFeature, Bicester Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bicester Village
Context triple: [Bicester, hasFeature, Bicester Village]
  • A. Bicester chosen
    Bicester is a historic market town in Oxfordshire, England, best known today for its rapid growth and the popular designer outlet shopping destination Bicester Village.
  • B. Brize Norton
    Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
  • C. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • D. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • E. Ashtead
    Ashtead is a large suburban village in Surrey, England, known for its residential character, local amenities, and proximity to the town of Leatherhead.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b967f08190a73216361b9c2d83 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada99d12f88190a9daec1b7dd64e67 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.