Triple

T1916945
Position Surface form Disambiguated ID Type / Status
Subject Chorley E40038 entity
Predicate locatedNear P294 FINISHED
Object Wigan E34961 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: Wigan | Statement: [Chorley, locatedNear, Wigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wigan
Context triple: [Chorley, locatedNear, Wigan]
  • A. Wigan chosen
    Wigan is a large town in North West England known historically for its coal mining and cotton industries and today for its rugby league and football clubs.
  • B. Salford
    Salford is a city in Greater Manchester, England, known for its industrial heritage and the modern MediaCityUK development on the Salford Quays.
  • C. Salford
    Salford is a small rural village in the West Oxfordshire district of Oxfordshire, England.
  • D. Rochdale
    Rochdale is a large town in Greater Manchester, England, historically known as a mill town and cooperative movement birthplace, now serving as a residential and commercial hub connected by rail to Manchester.
  • E. Leeds
    Leeds is a major city in West Yorkshire, England, known as a key commercial, cultural, and educational center in the north of the country.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb20f54848190b9457e1231aa49db completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58b843a081908c49ebb944d872d6 completed March 9, 2026, 5:20 a.m.
Created at: March 4, 2026, 7:35 p.m.