Triple

T22686147
Position Surface form Disambiguated ID Type / Status
Subject River Wheelock E560919 entity
Predicate flowsThrough P225 FINISHED
Object Warmingham 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: Warmingham | Statement: [River Wheelock, flowsThrough, Warmingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warmingham
Context triple: [River Wheelock, flowsThrough, Warmingham]
  • A. Warmingham chosen
    Warmingham is a small rural village in Cheshire, England, known for its historic church and tranquil countryside setting.
  • B. Kingham
    Kingham is a picturesque rural village in the Cotswolds area of Oxfordshire, England, known for its traditional stone cottages and countryside setting.
  • C. Cretingham
    Cretingham is a small rural village and civil parish in the English county of Suffolk, known for its historic church and countryside setting.
  • D. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • E. Lastingham
    Lastingham is a small historic village in North Yorkshire, England, noted for its ancient church and tranquil setting on the edge of the North York Moors.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178637bc08190a8dfb33b5f4249e5 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.