Triple

T13905718
Position Surface form Disambiguated ID Type / Status
Subject Hazel Grove railway station E334343 entity
Predicate servedBy P82 FINISHED
Object Northern Trains E9865 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: Northern Trains | Statement: [Hazel Grove railway station, servedBy, Northern Trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Trains
Context triple: [Hazel Grove railway station, servedBy, Northern Trains]
  • A. Northern Trains chosen
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
  • B. Northern Rail
    Northern Rail is a British train operating company providing regional and commuter rail services across Northern England.
  • C. North West Trains
    North West Trains was a British train operating company that ran regional and commuter rail services in North West England following rail privatization in the mid-1990s.
  • D. Virgin Trains
    Virgin Trains was a British train operating company under Richard Branson’s Virgin Group brand that ran long-distance passenger rail services in the UK.
  • E. Thames Trains
    Thames Trains was a former British train operating company that provided regional and commuter rail services in the Thames Valley area of England in the late 1990s and early 2000s.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25dc26cc8190a7909980b1d34933 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac85fd7c819089e7a78dcf0b22fb completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:16 p.m.