Triple

T13739912
Position Surface form Disambiguated ID Type / Status
Subject River Brun E330055 entity
Predicate flowsThrough P225 FINISHED
Object Burnley E39907 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: Burnley | Statement: [River Brun, flowsThrough, Burnley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burnley
Context triple: [River Brun, flowsThrough, Burnley]
  • A. Burnley chosen
    Burnley is a large market town in Lancashire, England, known historically for its textile industry and more recently for its football club, Burnley F.C.
  • B. Burnley
    Burnley is an inner-city suburb of Melbourne, Victoria, known for its residential streets, parklands, and proximity to the Yarra River and major transport links.
  • C. Burnley F.C.
    Burnley F.C. is a professional English football club based in Burnley, Lancashire, known for its historic league titles and passionate local support.
  • D. Accrington
    Accrington is a town in Lancashire, England, historically known for its textile industry and the production of Accrington brick.
  • E. Bolton
    Bolton is a large town in North West England known for its industrial heritage, particularly in textile manufacturing, and its location northwest of Manchester.
  • 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_69de0206a4b88190a60914e2b43e54f9 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d65062c819086a5f7a7ebc45412 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.