Triple

T7226869
Position Surface form Disambiguated ID Type / Status
Subject Shawforth E154801 entity
Predicate locatedNear P294 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: [Shawforth, locatedNear, Bacup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bacup
Context triple: [Shawforth, locatedNear, 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. Ilkley
    Ilkley is a spa town in West Yorkshire, England, known for its moorland scenery, Victorian architecture, and literary associations.
  • D. Belper
    Belper is a historic industrial town in central England, noted for its role in the early cotton mill industry and as part of the Derwent Valley Mills World Heritage Site.
  • E. Baildon
    Baildon is a town in West Yorkshire, England, known for its moorland scenery and proximity to the River Aire and the city of Bradford.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9de21e081908f30700f6211c5ef completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc17a3788190842a852fb4b96185 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:54 p.m.