Triple

T4914414
Position Surface form Disambiguated ID Type / Status
Subject Oxford railway station E110312 entity
Predicate railNetwork P522 FINISHED
Object National Rail E2215 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: National Rail | Statement: [Oxford railway station, railNetwork, National Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National Rail
Context triple: [Oxford railway station, railNetwork, National Rail]
  • A. National Rail chosen
    National Rail is the collective name for the passenger rail services and network in Great Britain, encompassing most regional and intercity train operations outside of urban metro systems.
  • B. National Rail Enquiries
    National Rail Enquiries is the official information service for Britain’s National Rail network, providing timetables, fares, and real-time journey updates to passengers.
  • C. Northern Rail
    Northern Rail is a British train operating company providing regional and commuter rail services across Northern England.
  • D. Northern Trains
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
  • E. 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.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9f12b48190b3cb5378958d03cd completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6feaf3dc81908b2c7a7409b1c952 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.