Triple

T520289
Position Surface form Disambiguated ID Type / Status
Subject Witney E10799 entity
Predicate replaces P101 FINISHED
Object Mid Oxfordshire E14793 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: Mid Oxfordshire | Statement: [Witney, replaces, Mid Oxfordshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mid Oxfordshire
Context triple: [Witney, replaces, Mid Oxfordshire]
  • A. West Oxfordshire chosen
    West Oxfordshire is a largely rural local government district in Oxfordshire, England, known for its historic market towns, Cotswold landscapes, and villages such as Woodstock.
  • B. South Oxfordshire
    South Oxfordshire is a largely rural local government district in Oxfordshire, England, known for its market towns, villages, and stretches of the River Thames.
  • C. Oxfordshire
    Oxfordshire is a historic county in South East England known for the city of Oxford and its prestigious university, as well as its stately homes and rural landscapes.
  • D. South Cambridgeshire
    South Cambridgeshire is a largely rural local government district in the county of Cambridgeshire in eastern England, surrounding the city of Cambridge.
  • 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 (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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1a00a6c8190a62dc7c901c2f2ff completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ab1f95cc8190a6e2dfc3636110b5 completed March 1, 2026, 9:09 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.