Triple

T344396
Position Surface form Disambiguated ID Type / Status
Subject Manchester Airport railway station E6906 entity
Predicate operator P179 FINISHED
Object TransPennine Express E9459 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: TransPennine Express | Statement: [Manchester Airport railway station, operator, TransPennine Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TransPennine Express
Context triple: [Manchester Airport railway station, operator, TransPennine Express]
  • A. TransPennine Express chosen
    TransPennine Express is a British train operating company providing intercity and regional rail services across northern England and into Scotland.
  • B. Northern Trains
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern 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. West Midlands Railway
    West Midlands Railway is a British train operating company providing regional and commuter rail services across the West Midlands and surrounding areas of England.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb01261c81909280128b5ce75eff completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e572e9c48190b177b363ed8a8404 completed March 1, 2026, 7:06 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.