Triple

T20647714
Position Surface form Disambiguated ID Type / Status
Subject Carsington E507400 entity
Predicate near P350 FINISHED
Object Carsington Water 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: Carsington Water | Statement: [Carsington, near, Carsington Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carsington Water
Context triple: [Carsington, near, Carsington Water]
  • A. Carsington Water chosen
    Carsington Water is a large reservoir and popular outdoor recreation area in Derbyshire, England, known for sailing, walking, and wildlife.
  • B. Haywards Water
    Haywards Water is a small stream in Somerset, England, that serves as a tributary of the River Tone within the county’s rural river network.
  • C. Wilton Water
    Wilton Water is an artificial reservoir in Wiltshire, England, built to supply water to the summit level of the Kennet and Avon Canal.
  • D. Manor Water
    Manor Water is a small river in the Scottish Borders that flows through Manor Valley before joining the River Tweed.
  • E. Horsey Mere
    Horsey Mere is a shallow freshwater lake and nature reserve in the Norfolk Broads, renowned for its wildlife, reedbeds, and traditional boating.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1fbfa881908a5b9db143e362d0 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.