Triple

T4068012
Position Surface form Disambiguated ID Type / Status
Subject Over Norton E86374 entity
Predicate near P350 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: [Over Norton, near, Chipping Norton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chipping Norton
Context triple: [Over Norton, near, 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. Chinnor
    Chinnor is a large village and civil parish in Oxfordshire, England, known for its historic railway and location at the foot of the Chiltern Hills.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbf8f33c8190a6afca1830f35485 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589d11b0881909984a0b4f738b444 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:38 p.m.