Triple

T1900813
Position Surface form Disambiguated ID Type / Status
Subject Fosse Way E37684 entity
Predicate passesThrough P225 FINISHED
Object Cirencester E76793 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: Cirencester | Statement: [Fosse Way, passesThrough, Cirencester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cirencester
Context triple: [Fosse Way, passesThrough, Cirencester]
  • A. Cirencester chosen
    Cirencester is a historic market town in south-central England, renowned for its Roman heritage and Cotswold architecture.
  • 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. Chipping Norton
    Chipping Norton is a historic market town in Oxfordshire, England, known for its Cotswold stone architecture and rural surroundings.
  • D. Stroud
    Stroud is a market town and parliamentary constituency in Gloucestershire, England, known historically for its role in the Industrial Revolution and its association with progressive politics.
  • E. Stroud
    Stroud is a small community within the town of Innisfil in Ontario, Canada, known for its residential character and proximity to Lake Simcoe.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb18c46c88190b10c05bf5c6a2d9c completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3042bdf08190bf43c9246fcc114e completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:35 p.m.