Triple

T21356262
Position Surface form Disambiguated ID Type / Status
Subject Cherwell district E526634 entity
Predicate contains P35 FINISHED
Object Deddington NE NERFINISHED

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: Deddington | Statement: [Cherwell district, contains, Deddington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deddington
Context triple: [Cherwell district, contains, Deddington]
  • A. Deddington chosen
    Deddington is a historic village and civil parish in Oxfordshire, England, known for its medieval church, market history, and well-preserved architecture.
  • B. Doddington
    Doddington is a village in Lincolnshire, England, situated within the wider Lincoln urban area and known for its historic Doddington Hall and rural character.
  • C. Geddington
    Geddington is a historic village in Northamptonshire, England, best known for its remarkably well-preserved medieval Eleanor Cross.
  • D. Dennington
    Dennington is a rural village and civil parish located in the English county of Suffolk.
  • E. Daventry
    Daventry is a historic market town in Northamptonshire, England, known for its role in early nonconformist religious education and its later development as a regional commercial center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa0fca481908f1fd02154bcba9f completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:06 p.m.