Triple

T19516902
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 700 E488300 entity
Predicate operator P179 FINISHED
Object Thameslink 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: Thameslink | Statement: [British Rail Class 700, operator, Thameslink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thameslink
Context triple: [British Rail Class 700, operator, Thameslink]
  • A. Thameslink chosen
    Thameslink is a major British rail network providing cross-London services that connect destinations across the South East of England.
  • B. Thames Trains
    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.
  • C. Northern Rail
    Northern Rail is a British train operating company providing regional and commuter rail services across Northern England.
  • D. City Thameslink
    City Thameslink is a central London railway station on the Thameslink route, serving commuter and regional services through the City of London.
  • E. Govia Thameslink Railway
    Govia Thameslink Railway is a major UK train operating company that runs the Thameslink, Southern, Great Northern, and Gatwick Express services across London and surrounding regions.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359ca7648190804c4d655170fda3 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.