Triple

T15288609
Position Surface form Disambiguated ID Type / Status
Subject SFM Torino E365467 entity
Predicate hasOperator P179 FINISHED
Object Trenitalia E364696 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 | Statement: [SFM Torino, hasOperator, Trenitalia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trenitalia
Context triple: [SFM Torino, hasOperator, Trenitalia]
  • A. Trenitalia chosen
    Trenitalia is Italy’s primary national railway operator, running most of the country’s passenger and regional train services.
  • B. 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.
  • C. 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.
  • D. Ferrovie dello Stato Italiane
    Ferrovie dello Stato Italiane is Italy’s state-owned national railway holding company, overseeing passenger and freight rail services as well as rail infrastructure through various subsidiaries.
  • E. Trenitalia c2c Limited
    Trenitalia c2c Limited is a British train operating company providing passenger rail services on routes in and around London and Essex.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff364bafd0819086b8aab1c216c6fa completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:15 a.m.