Triple

T2180583
Position Surface form Disambiguated ID Type / Status
Subject Sheffield railway station E49031 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: [Sheffield railway station, servedBy, TransPennine Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TransPennine Express
Context triple: [Sheffield 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 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.

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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbef0e2f0819080ca457fe3b8b419 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3b515c081909d6ad7f0506ea5a8 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:45 p.m.