Triple

T20643332
Position Surface form Disambiguated ID Type / Status
Subject Hanover S-Bahn network E507285 entity
Predicate operator P179 FINISHED
Object DB Regio Nord 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 Nord | Statement: [Hanover S-Bahn network, operator, DB Regio Nord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Regio Nord
Context triple: [Hanover S-Bahn network, operator, DB Regio Nord]
  • 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. InterRegio
    InterRegio is a category of medium- to long-distance passenger trains in several European countries that provides relatively fast regional connections between major cities and regions.
  • C. DB Regio Bayern
    DB Regio Bayern is the regional rail division of Deutsche Bahn responsible for operating local passenger train services throughout the German state of Bavaria.
  • D. RegioExpress
    RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized towns.
  • E. 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.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1c51f48190abba54a5aace9fc8 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.