Triple

T2310458
Position Surface form Disambiguated ID Type / Status
Subject Leeds to Liverpool Lime Street service E51943 entity
Predicate typicalRollingStockOperator P6305 FINISHED
Object TransPennine Express E9459 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: TransPennine Express | Statement: [Leeds to Liverpool Lime Street service, typicalRollingStockOperator, TransPennine Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TransPennine Express
Context triple: [Leeds to Liverpool Lime Street service, typicalRollingStockOperator, 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 Rail
    Northern Rail is a British train operating company providing regional and commuter rail services across Northern England.
  • C. Northern Trains
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
  • D. London Midland
    London Midland was a former British train operating company that ran regional and intercity passenger services across the West Midlands and surrounding areas until its franchise ended in 2017.
  • E. Arriva Trains Northern
    Arriva Trains Northern was a former British train operating company that provided regional and commuter 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: typicalRollingStockOperator
Context triple: [Leeds to Liverpool Lime Street service, typicalRollingStockOperator, TransPennine Express]
  • A. rollingStockOperator chosen
    Indicates that an entity operates or manages rolling stock, such as trains or rail vehicles, in a railway system.
  • B. ownedRollingStock
    Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
  • C. trainOperator
    Indicates that one entity operates, manages, or runs train services for another entity or within a specific rail system.
  • D. formerRollingStock
    Indicates that an entity was previously used as rolling stock (e.g., railway vehicles) but no longer serves in that capacity.
  • E. usesRollingStock
    Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b6475948190816531b026c7930c completed March 9, 2026, 8:19 p.m.
PD Predicate disambiguation batch_69abc58e88e481908733fdf79d3f8a15 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.