Triple

T1049522
Position Surface form Disambiguated ID Type / Status
Subject Arriva UK Trains E22661 entity
Predicate hasFormerSubsidiary P22179 FINISHED
Object Arriva Trains Wales E129286 NE FINISHED

How this triple was built (3 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: Arriva Trains Wales | Statement: [Arriva UK Trains, hasFormerSubsidiary, Arriva Trains Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arriva Trains Wales
Context triple: [Arriva UK Trains, hasFormerSubsidiary, Arriva Trains Wales]
  • A. Arriva Trains Wales chosen
    Arriva Trains Wales was a former UK train operating company that provided passenger rail services across Wales and the English border regions from 2003 to 2018.
  • B. Transport for Wales Rail
    Transport for Wales Rail is a Welsh train operating company that provides regional and intercity rail services across Wales and into parts of England.
  • C. 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.
  • D. Arriva UK Trains
    Arriva UK Trains is a major British train operating company that manages several passenger rail franchises and services across the United Kingdom.
  • E. Northern Trains
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormerSubsidiary
Context triple: [Arriva UK Trains, hasFormerSubsidiary, Arriva Trains Wales]
  • A. hasSubsidiaryHistory chosen
    Indicates that an entity has a historical record of owning, controlling, or being associated with one or more subsidiary entities over time.
  • B. hasParentCompany
    Indicates that one company is owned or controlled by another company that serves as its parent organization.
  • C. formerParentCompany
    Indicates that one entity previously served as the parent company of another but no longer holds that status.
  • D. hasFormerDivision
    Indicates that an entity previously had another entity as one of its internal divisions or sub-units, but no longer does.
  • E. laterParentCompany
    Indicates that one entity became the parent company of another entity at a later point in time, after some prior state or relationship.
  • F. None of above.

Provenance (4 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_69a4b8f28c7c8190b9ca3749666bcbf3 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66224db481909318add535721977 completed March 7, 2026, 5:53 p.m.
PD Predicate disambiguation batch_69a4b72e3e488190b768005ad647886b completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.