Triple

T1049523
Position Surface form Disambiguated ID Type / Status
Subject Arriva UK Trains E22661 entity
Predicate hasFormerSubsidiary P22179 FINISHED
Object Northern Rail E135559 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 Rail | Statement: [Arriva UK Trains, hasFormerSubsidiary, Northern Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Rail
Context triple: [Arriva UK Trains, hasFormerSubsidiary, Northern Rail]
  • A. Northern Rail chosen
    Northern Rail is a British train operating company providing regional and commuter rail services across Northern England.
  • B. Northern Trains
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
  • C. London North Eastern Railway
    London North Eastern Railway is a British train operating company that runs long-distance passenger services on the East Coast Main Line between London and destinations in northern England and Scotland.
  • 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. Thameslink
    Thameslink is a major British rail network providing cross-London services that connect destinations across the South East of England.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bb7320f88190a8428946541df157 completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89fd91208190ac962ec7059f716b completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:42 p.m.