Triple

T22348656
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 155 E552466 entity
Predicate operator P179 FINISHED
Object Arriva Trains Northern NE NERFINISHED

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 Northern | Statement: [British Rail Class 155, operator, Arriva Trains Northern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arriva Trains Northern
Context triple: [British Rail Class 155, operator, Arriva Trains Northern]
  • A. Arriva Trains Northern chosen
    Arriva Trains Northern was a former British train operating company that provided regional and commuter rail services across Northern England.
  • B. Arriva Rail North
    Arriva Rail North was a British train operating company that ran regional and commuter rail services across Northern England under the Northern brand.
  • C. 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.
  • D. 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.
  • 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.

Provenance (2 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579a1c308190ae2174f99ae317ab completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.