Triple

T3119502
Position Surface form Disambiguated ID Type / Status
Subject TfW Rail E65146 entity
Predicate predecessor P97 FINISHED
Object Arriva Trains Wales E129286 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: Arriva Trains Wales | Statement: [TfW Rail, predecessor, Arriva Trains Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arriva Trains Wales
Context triple: [TfW Rail, predecessor, 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. Arriva Trains Northern
    Arriva Trains Northern was a former British train operating company that provided regional and commuter rail services across Northern England.
  • 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. 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.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4eb6a6081909df41f67999eb4ff completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3b27a088190b20b3f4404c02c32 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:04 p.m.