Triple

T20584679
Position Surface form Disambiguated ID Type / Status
Subject Venezia Mestre railway station E505753 entity
Predicate operator P179 FINISHED
Object ÖBB 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: ÖBB | Statement: [Venezia Mestre railway station, operator, ÖBB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ÖBB
Context triple: [Venezia Mestre railway station, operator, ÖBB]
  • A. ÖBB chosen
    ÖBB is Austria’s national railway company, operating most of the country’s passenger and freight train services across domestic and international routes.
  • B. Deutsche Bahn
    Deutsche Bahn is Germany's state-owned national railway company and one of the largest rail and logistics operators in Europe.
  • C. DB Regio AG
    DB Regio AG is a major German railway company that operates regional and local passenger train services across Germany as part of the Deutsche Bahn Group.
  • D. Südostbahn
    Südostbahn is a Swiss railway company that operates regional and suburban train services, including lines within the Zürich S-Bahn network.
  • E. ASFINAG
    ASFINAG is the Austrian state-owned company responsible for planning, building, financing, and operating the country's motorway and expressway network.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a975f098819083700593a9fa6cd0 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.