Triple

T20434249
Position Surface form Disambiguated ID Type / Status
Subject S2 (Stuttgart S-Bahn) E501209 entity
Predicate operator P179 FINISHED
Object DB Regio AG 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: DB Regio AG | Statement: [S2 (Stuttgart S-Bahn), operator, DB Regio AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Regio AG
Context triple: [S2 (Stuttgart S-Bahn), operator, DB Regio AG]
  • A. DB Regio AG chosen
    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.
  • B. DB Cargo AG
    DB Cargo AG is the rail freight division of Deutsche Bahn, providing cargo and logistics services across Germany and Europe.
  • C. Basler Verkehrs-Betriebe
    Basler Verkehrs-Betriebe is the main public transport company of Basel, Switzerland, operating the city’s tram and bus services.
  • D. MTR GmbH
    MTR GmbH is an international joint venture company that designs, develops, and supports turboshaft engines for military helicopters.
  • E. DB Station&Service AG
    DB Station&Service AG is a subsidiary of Deutsche Bahn responsible for managing and operating railway stations across Germany.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685ecf7ac81908e9c2ef4348fb281 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.