Triple

T468382
Position Surface form Disambiguated ID Type / Status
Subject London Road railway station E8499 entity
Predicate servedBy P82 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: [London Road railway station, servedBy, TransPennine Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TransPennine Express
Context triple: [London Road railway station, servedBy, 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd9bea081909ee782840f3da12b completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a467fd7cc48190b00982c4f1c41eaf completed March 1, 2026, 4:23 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.