Triple

T11873168
Position Surface form Disambiguated ID Type / Status
Subject Bledington E282453 entity
Predicate hasPostTown P2711 FINISHED
Object Chipping Norton E39645 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: Chipping Norton | Statement: [Bledington, hasPostTown, Chipping Norton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chipping Norton
Context triple: [Bledington, hasPostTown, Chipping Norton]
  • A. Chipping Norton chosen
    Chipping Norton is a historic market town in Oxfordshire, England, known for its Cotswold stone architecture and rural surroundings.
  • 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. 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.
  • D. Cirencester
    Cirencester is a historic market town in south-central England, renowned for its Roman heritage and Cotswold architecture.
  • E. 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.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be18b7d48190b7fb1c3a67a891ed completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417bb131c8190b0923e077cca74be completed May 1, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:43 p.m.