Triple

T1301385
Position Surface form Disambiguated ID Type / Status
Subject John Wilkinson E27769 entity
Predicate residence P75 FINISHED
Object Broseley E108106 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: Broseley | Statement: [John Wilkinson, residence, Broseley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broseley
Context triple: [John Wilkinson, residence, Broseley]
  • A. Broseley chosen
    Broseley is a small historic town in Shropshire, England, known for its role in the early Industrial Revolution and its proximity to the Ironbridge Gorge World Heritage Site.
  • B. Bersham
    Bersham is a village in Wrexham County Borough, Wales, historically significant as an early center of the Industrial Revolution and ironworking.
  • C. Glossop
    Glossop is a market town in Derbyshire, England, situated on the edge of the Peak District and historically associated with the textile industry.
  • D. Burslem
    Burslem is a town in Stoke-on-Trent, England, historically known as a major center of the pottery industry.
  • E. Solihull
    Solihull is a large town and metropolitan borough in England known for its affluent suburbs, historic architecture, and proximity to Birmingham in the West Midlands.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1145c2481908adf22dfd6ce349b completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd4729af08190a6de5388dab69fee completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:51 p.m.