Triple

T180642
Position Surface form Disambiguated ID Type / Status
Subject Bacup E3866 entity
Predicate hasNearbyTown P3883 FINISHED
Object Rawtenstall E9454 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: Rawtenstall | Statement: [Bacup, hasNearbyTown, Rawtenstall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rawtenstall
Context triple: [Bacup, hasNearbyTown, Rawtenstall]
  • A. Rawtenstall chosen
    Rawtenstall is a small former mill town in Lancashire, England, known for its industrial heritage and location within the Rossendale Valley.
  • B. Breadsall
    Breadsall is a village in Derbyshire, England, known for its historic countryside setting and the nearby Breadsall Priory.
  • C. Ramsbottom
    Ramsbottom is a small market town in Greater Manchester, England, known for its industrial heritage, scenic Irwell Valley setting, and preserved East Lancashire Railway.
  • D. Pendlebury
    Pendlebury is a suburban area in the City of Salford, Greater Manchester, England, historically known for its coal mining and textile industries.
  • E. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25901a9188190b8f510bec8c8e7f2 completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3736b2ff081909a5b36a93fa16130 completed Feb. 28, 2026, 10:59 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.