Triple

T9301641
Position Surface form Disambiguated ID Type / Status
Subject Heald Green railway station E223776 entity
Predicate locatedIn P40 FINISHED
Object Heald Green E670983 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: Heald Green | Statement: [Heald Green railway station, locatedIn, Heald Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heald Green
Context triple: [Heald Green railway station, locatedIn, Heald Green]
  • A. Heald Green chosen
    Heald Green is a suburban area in Greater Manchester, England, known for its residential character and proximity to Manchester Airport.
  • B. 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.
  • C. Yorkhill
    Yorkhill is a residential neighbourhood in the city of Vaughan, Ontario, known for its diverse community and proximity to Toronto.
  • D. Moss Side
    Moss Side is an inner-city district of Manchester, England, known for its diverse community, rich cultural history, and significant role in the city’s social and musical life.
  • E. Milnrow
    Milnrow is a town in Greater Manchester, England, historically part of Lancashire and known for its textile heritage and proximity to the Pennine hills.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d1d954819098be177addafa406 completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0c77b8bf481909c5abf6523f75b2c completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:36 p.m.