Triple

T14363788
Position Surface form Disambiguated ID Type / Status
Subject Wylam railway station E356171 entity
Predicate hasPassengerOperator P28038 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: [Wylam railway station, hasPassengerOperator, Northern Trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Trains
Context triple: [Wylam railway station, hasPassengerOperator, 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550ca6b88190b76cd486bdd66fdf completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.