Triple

T15797304
Position Surface form Disambiguated ID Type / Status
Subject Humberhead Levels E383014 entity
Predicate adminRegion P285 FINISHED
Object Doncaster E123073 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: Doncaster | Statement: [Humberhead Levels, adminRegion, Doncaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doncaster
Context triple: [Humberhead Levels, adminRegion, Doncaster]
  • A. Doncaster chosen
    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.
  • B. Yorkton
    Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
  • C. Scunthorpe
    Scunthorpe is an industrial town in North Lincolnshire, England, historically known for its steel production.
  • D. Wakefield
    Wakefield is a historic cathedral city in West Yorkshire, Northern England, known for its medieval heritage and role as an administrative and commercial center in the region.
  • E. Wakefield
    Wakefield is a picturesque village in western Quebec, Canada, known for its historic covered bridge, arts community, and scenic setting along the Gatineau River.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4def80481908f72733ce9133bc6 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998b52e481908baa20b5a8c1cbcf completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.