Triple

T19419952
Position Surface form Disambiguated ID Type / Status
Subject B4477 E485823 entity
Predicate serves P98 FINISHED
Object Brize Norton 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: Brize Norton | Statement: [B4477, serves, Brize Norton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brize Norton
Context triple: [B4477, serves, Brize Norton]
  • A. Brize Norton chosen
    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.
  • B. Chipping Norton
    Chipping Norton is a historic market town in Oxfordshire, England, known for its Cotswold stone architecture and rural surroundings.
  • C. Cirencester
    Cirencester is a historic market town in south-central England, renowned for its Roman heritage and Cotswold architecture.
  • D. Cricklade
    Cricklade is a historic small town in Wiltshire, England, situated on the River Thames and known for its well-preserved Saxon origins and traditional market-town character.
  • E. Bicester
    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.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63213b6ec8190b89982b554a0f6e7 completed April 20, 2026, 2:02 p.m.
Created at: April 10, 2026, 1:37 p.m.