Triple

T5582775
Position Surface form Disambiguated ID Type / Status
Subject Pinner E146677 entity
Predicate hasNeighbouringArea P17964 FINISHED
Object Rayners Lane E197516 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: Rayners Lane | Statement: [Pinner, hasNeighbouringArea, Rayners Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rayners Lane
Context triple: [Pinner, hasNeighbouringArea, Rayners Lane]
  • A. Rayners Lane chosen
    Rayners Lane is a suburban area and London Underground station district in northwest London, known for its residential character and Art Deco architecture.
  • B. Woodhouse Lane
    Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
  • C. Moor Lane
    Moor Lane is a football stadium in Salford, Greater Manchester, best known as the long-standing home of Salford City F.C.
  • D. Hauxton Road
    Hauxton Road is a major route on the southern edge of Cambridge, England, connecting the city to nearby villages and the M11 motorway.
  • E. Easington Lane
    Easington Lane is a village in the City of Sunderland, Tyne and Wear, in North East England.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0208333f08190bf0049b6bdd280f5 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70ad71194819081361abadfc256ca completed March 27, 2026, 10:55 p.m.
Created at: March 22, 2026, 3:37 p.m.