Triple

T613952
Position Surface form Disambiguated ID Type / Status
Subject M60 motorway E12161 entity
Predicate passesThrough P225 FINISHED
Object Stockport E12283 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: Stockport | Statement: [M60 motorway, passesThrough, Stockport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stockport
Context triple: [M60 motorway, passesThrough, Stockport]
  • A. Stockport chosen
    Stockport is a large town in Greater Manchester, England, situated southeast of central Manchester and forming part of the wider Manchester urban area.
  • B. Wythenshawe
    Wythenshawe is a large suburban area in south Manchester, England, known for its extensive housing estates, green spaces, and proximity to Manchester Airport.
  • C. Birkenhead
    Birkenhead is a town in north west England, situated on the Wirral Peninsula across the River Mersey from Liverpool, known historically for its shipbuilding and docks.
  • D. Sandwell
    Sandwell is a metropolitan borough in the West Midlands of England, forming part of the Birmingham conurbation and encompassing several former industrial towns.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e0a0f588190b953fdb585263307 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7927a25b081909b553fe3a486e84a completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:35 p.m.