Triple

T5312372
Position Surface form Disambiguated ID Type / Status
Subject Helmshore E119061 entity
Predicate locatedNear P294 FINISHED
Object Haslingden E53867 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: Haslingden | Statement: [Helmshore, locatedNear, Haslingden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haslingden
Context triple: [Helmshore, locatedNear, Haslingden]
  • A. Haslingden chosen
    Haslingden is a small former mill town in Lancashire, England, known for its industrial heritage and location within the Rossendale Valley.
  • B. Mirfield
    Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
  • C. Knottingley
    Knottingley is a small town in West Yorkshire, England, historically known for its glassmaking and situated on the banks of the River Aire.
  • D. Thirsk
    Thirsk is a historic market town in northern England, best known as the home of veterinarian-author James Herriot and as a gateway to the North York Moors.
  • E. Ingleton
    Ingleton is a civil parish and village in North Yorkshire, England, known for its scenic limestone landscapes, waterfalls, and proximity to the Yorkshire Dales.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8535a1ec819094b2c5d3cfc57f56 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21b546a481909d18cad5ec391705 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:54 p.m.