Triple

T13731796
Position Surface form Disambiguated ID Type / Status
Subject North Yorkshire Police E329819 entity
Predicate operatesIn P82 FINISHED
Object Hambleton E133344 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: Hambleton | Statement: [North Yorkshire Police, operatesIn, Hambleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hambleton
Context triple: [North Yorkshire Police, operatesIn, Hambleton]
  • A. Hambleton chosen
    Hambleton is a largely rural district in North Yorkshire, England, known for its market towns and agricultural landscape.
  • B. Hambleton Hills
    Hambleton Hills is a range of hills in North Yorkshire, England, known for its scenic landscapes and role as a prominent feature of the North York Moors.
  • C. Brockham
    Brockham is a picturesque village in Surrey, England, known for its traditional village green and historic rural character.
  • D. Hammerton
    Hammerton is a village in North Yorkshire, England, served by a station on the Harrogate railway line between York and Leeds.
  • E. Blunham
    Blunham is a village in Bedfordshire, England, known for its rural setting near the River Ivel and historic parish church.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f92b588190be97ec4564dddd59 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0dd20348190adfb1712de06088c completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 9:55 p.m.