Triple

T7064929
Position Surface form Disambiguated ID Type / Status
Subject Ulm–Sigmaringen railway E164321 entity
Predicate serviceOperator P5884 FINISHED
Object DB Regio E119083 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: DB Regio | Statement: [Ulm–Sigmaringen railway, serviceOperator, DB Regio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Regio
Context triple: [Ulm–Sigmaringen railway, serviceOperator, DB Regio]
  • A. DB Regio chosen
    DB Regio is a division of Germany’s national railway company that operates most of the country’s regional and local passenger train services.
  • B. DB Regio Bus
    DB Regio Bus is the regional and local bus transport division of Deutsche Bahn, operating extensive bus services across Germany.
  • C. DB Netz (for most lines)
    DB Netz is the rail infrastructure division of Deutsche Bahn responsible for operating and maintaining most of Germany’s railway network.
  • D. DB Station&Service
    DB Station&Service is a subsidiary of Deutsche Bahn responsible for managing and operating railway stations across Germany.
  • E. ProRail
    ProRail is the Dutch government-owned company responsible for managing and maintaining the national railway infrastructure in the Netherlands.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a3c36c819080942c59f1830ae8 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788ba7af88190aeaf3205255af8ad completed March 28, 2026, 7:52 a.m.
Created at: March 27, 2026, 2:39 p.m.