Triple

T23068301
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 166 E575116 entity
Predicate formerOperator P179 FINISHED
Object Thames Trains NE NERFINISHED

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: Thames Trains | Statement: [British Rail Class 166, formerOperator, Thames Trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thames Trains
Context triple: [British Rail Class 166, formerOperator, Thames Trains]
  • A. Thames Trains chosen
    Thames Trains was a former British train operating company that provided regional and commuter rail services in the Thames Valley area of England in the late 1990s and early 2000s.
  • B. Thameslink
    Thameslink is a major British rail network providing cross-London services that connect destinations across the South East of 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. Northern Trains
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
  • E. City Thameslink
    City Thameslink is a central London railway station on the Thameslink route, serving commuter and regional services through the City of London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a5aa4081909b3f0dc92877323d completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.