Triple

T6358387
Position Surface form Disambiguated ID Type / Status
Subject Berlin public transport network E143047 entity
Predicate hasOperator P179 FINISHED
Object DB Regio Nordost 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 Nordost | Statement: [Berlin public transport network, hasOperator, DB Regio Nordost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Regio Nordost
Context triple: [Berlin public transport network, hasOperator, DB Regio Nordost]
  • 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. RegioExpress
    RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized towns.
  • D. Pardubice railway region
    The Pardubice railway region is an administrative rail transport district in the Czech Republic that oversees and coordinates railway operations and infrastructure in and around the city of Pardubice and neighboring areas.
  • E. Arvato
    Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f5bdd481909cf9db595ddb27df completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d5f134c8190817037ad933c4d2b completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.