Triple

T23377875
Position Surface form Disambiguated ID Type / Status
Subject Scrooby E593655 entity
Predicate hasPostTown P2711 FINISHED
Object Doncaster 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: Doncaster | Statement: [Scrooby, hasPostTown, Doncaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doncaster
Context triple: [Scrooby, hasPostTown, 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. Doncaster
    Doncaster is a residential and commercial suburb in Melbourne, Victoria, known for its major shopping centre and elevated views of the city.
  • C. Yorkton
    Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
  • D. Scunthorpe
    Scunthorpe is an industrial town in North Lincolnshire, England, historically known for its steel production.
  • E. 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.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b526ec8190b0304c72a9010abb completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:33 p.m.