Triple

T20346355
Position Surface form Disambiguated ID Type / Status
Subject Walkden railway station E495880 entity
Predicate serves P98 FINISHED
Object Walkden NE NERFINISHED

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: Walkden | Statement: [Walkden railway station, serves, Walkden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walkden
Context triple: [Walkden railway station, serves, Walkden]
  • A. Walkden chosen
    Walkden is a suburban town in the City of Salford, Greater Manchester, England, with its own railway station on the Atherton line.
  • B. Barnt Green
    Barnt Green is a village in Worcestershire, England, known as a commuter settlement south of Birmingham with good rail links and surrounding countryside.
  • C. Skelton Green
    Skelton Green is a small village in North Yorkshire, England, situated near the North Sea coast and historically associated with the Teesside area.
  • D. Leylands
    Leylands is a residential neighbourhood within the town of Burgess Hill in West Sussex, England.
  • E. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6783937a48190ac86e4959a781a2b completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.