Triple

T20303353
Position Surface form Disambiguated ID Type / Status
Subject Yorkton Creek E505541 entity
Predicate near P350 FINISHED
Object Yorkton 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: Yorkton | Statement: [Yorkton Creek, near, Yorkton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yorkton
Context triple: [Yorkton Creek, near, Yorkton]
  • A. Yorkton chosen
    Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
  • B. Corby
    Corby is a town in Northamptonshire, England, known for its steel industry heritage and significant Scottish community.
  • C. Doncaster
    Doncaster is a large town and metropolitan borough in South Yorkshire, England, known historically for its railway heritage, horse racing, and role as a regional commercial center.
  • D. Scunthorpe
    Scunthorpe is an industrial town in North Lincolnshire, England, historically known for its steel production.
  • E. Earls Barton
    Earls Barton is a historic village in Northamptonshire, England, noted for its Anglo-Saxon church tower and traditional shoe-making heritage.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773e0864819095d272659cd2074d completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:17 a.m.