Triple

T8463070
Position Surface form Disambiguated ID Type / Status
Subject Banbury market E200090 entity
Predicate locatedIn P40 FINISHED
Object Banbury E38824 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: Banbury | Statement: [Banbury market, locatedIn, Banbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banbury
Context triple: [Banbury market, locatedIn, Banbury]
  • A. Banbury chosen
    Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
  • B. 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.
  • C. Redditch
    Redditch is a town in the county of Worcestershire in England, historically known for its needle-making industry and now a modern residential and commercial center.
  • D. Didcot
    Didcot is a town in Oxfordshire, England, known historically for its railway junction and nearby power stations.
  • E. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4a251f08190840a7fc31ff528b5 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c696913c819089f29ec899d4ee61 completed April 4, 2026, 8:06 a.m.
Created at: March 30, 2026, 6:10 p.m.