Triple

T10133868
Position Surface form Disambiguated ID Type / Status
Subject Heysham Port railway station E226805 entity
Predicate serviceOperator P5884 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: [Heysham Port railway station, serviceOperator, Northern Trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Trains
Context triple: [Heysham Port railway station, serviceOperator, 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33808048190b6023a6cd83fc179 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317552b6081909a2e82e554a8f96e completed April 6, 2026, 2:15 a.m.
Created at: March 30, 2026, 9:06 p.m.