Triple

T9324588
Position Surface form Disambiguated ID Type / Status
Subject Ladbroke Grove rail crash E224355 entity
Predicate operator P179 FINISHED
Object Thames Trains E623585 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: Thames Trains | Statement: [Ladbroke Grove rail crash, operator, Thames Trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thames Trains
Context triple: [Ladbroke Grove rail crash, operator, 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 (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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f5c41c81908104c5b30e14827e completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100c48be481908b670d1e30a9c7e2 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:38 p.m.