Triple

T6339174
Position Surface form Disambiguated ID Type / Status
Subject River Cherwell E142578 entity
Predicate flowsThrough P225 FINISHED
Object Kirtlington E98552 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: Kirtlington | Statement: [River Cherwell, flowsThrough, Kirtlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirtlington
Context triple: [River Cherwell, flowsThrough, Kirtlington]
  • A. Kirtlington chosen
    Kirtlington is a rural village in Oxfordshire, England, known for its historic architecture and picturesque countryside setting.
  • B. Kintbury
    Kintbury is a rural village in Berkshire, England, known for its picturesque countryside setting and historic charm.
  • C. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • D. Kirtling
    Kirtling is a small rural village and civil parish in eastern England, historically associated with the county of Suffolk and known for its agricultural landscape and heritage buildings.
  • E. Kibworth Harcourt
    Kibworth Harcourt is a historic village in Leicestershire, England, known for its early Nonconformist educational traditions and literary associations.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654fb774819087bffb8b966a790a completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604352f148190b5accc28462256ad completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.