Triple

T21356272
Position Surface form Disambiguated ID Type / Status
Subject Cherwell district E526634 entity
Predicate contains P35 FINISHED
Object Kirtlington 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: Kirtlington | Statement: [Cherwell district, contains, Kirtlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirtlington
Context triple: [Cherwell district, contains, Kirtlington]
  • A. Kirtlington chosen
    Kirtlington is a rural village in Oxfordshire, England, known for its historic architecture and picturesque countryside setting.
  • B. Kirmington
    Kirmington is a village in North Lincolnshire, England, best known for being the site of Humberside Airport and the base of regional airline Eastern Airways.
  • C. Kirtlington, Oxfordshire, England
    Kirtlington, Oxfordshire, England is a rural village and civil parish in central Oxfordshire known for its historic manor house, parkland, and traditional English countryside setting.
  • D. Kintbury
    Kintbury is a rural village in Berkshire, England, known for its picturesque countryside setting and historic charm.
  • E. Kiddington
    Kiddington is a small rural village in Oxfordshire, England, known for its historic parish church and traditional English countryside setting.
  • 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.