Triple

T12054339
Position Surface form Disambiguated ID Type / Status
Subject Rossendale E287001 entity
Predicate containsSettlement P847 FINISHED
Object Bacup E3866 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: Bacup | Statement: [Rossendale, containsSettlement, Bacup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bacup
Context triple: [Rossendale, containsSettlement, Bacup]
  • A. Bacup chosen
    Bacup is a small former mill town in Lancashire, England, known for its well-preserved Victorian architecture and industrial heritage in the South Pennines.
  • B. Beckum
    Beckum is a town in the district of Warendorf in North Rhine-Westphalia, Germany, known historically for its cement industry and location in the Münsterland region.
  • C. Hepple
    Hepple is a small rural village in Northumberland, England, situated in the scenic Coquet Valley.
  • D. Ilkley
    Ilkley is a spa town in West Yorkshire, England, known for its moorland scenery, Victorian architecture, and literary associations.
  • E. Silsden
    Silsden is a small town in West Yorkshire, England, situated near the River Aire and the Leeds and Liverpool Canal, known historically for its textile and agricultural industries.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90425258c8190ba7b3b837c439253 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64f40388190bfb3d2a81d5fbf5e completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.