Triple

T19394895
Position Surface form Disambiguated ID Type / Status
Subject Rail Cargo Group E485161 entity
Predicate partOf P40 FINISHED
Object ÖBB Group 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 Group | Statement: [Rail Cargo Group, partOf, ÖBB Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ÖBB Group
Context triple: [Rail Cargo Group, partOf, ÖBB Group]
  • 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. 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.
  • C. Rail Cargo Group
    Rail Cargo Group is the freight transport and logistics division of the Austrian Federal Railways (ÖBB), providing rail-based cargo services across Europe.
  • D. Deutsche Bahn
    Deutsche Bahn is Germany's state-owned national railway company and one of the largest rail and logistics operators in Europe.
  • E. voestalpine Railway Systems
    voestalpine Railway Systems is a global provider of railway infrastructure solutions, specializing in rail tracks, turnouts, signaling, and related services for heavy-haul, high-speed, and urban rail networks.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b47630881909ba390888b8779f6 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.