Triple

T15257999
Position Surface form Disambiguated ID Type / Status
Subject Trenitalia E364696 entity
Predicate subsidiary P258 FINISHED
Object Trenitalia UK E1146931 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: Trenitalia UK | Statement: [Trenitalia, subsidiary, Trenitalia UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trenitalia UK
Context triple: [Trenitalia, subsidiary, Trenitalia UK]
  • A. Trenitalia
    Trenitalia is Italy’s primary national railway operator, running most of the country’s passenger and regional train services.
  • B. Trenitalia c2c Limited chosen
    Trenitalia c2c Limited is a British train operating company providing passenger rail services on routes in and around London and Essex.
  • C. Trenitalia Tper
    Trenitalia Tper is a regional Italian railway company that operates passenger train services, particularly in parts of northern Italy including Emilia-Romagna and surrounding areas.
  • D. Rete Ferroviaria Italiana
    Rete Ferroviaria Italiana is Italy’s state-owned rail infrastructure manager responsible for the operation, maintenance, and development of the national railway network.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084d11148190919eef8e55569bb9 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b37e4388190b748e884b3ba7568 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:13 a.m.