Triple

T5313248
Position Surface form Disambiguated ID Type / Status
Subject DB Regio E119083 entity
Predicate competitor P1375 FINISHED
Object Transdev Germany E499479 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: Transdev Germany | Statement: [DB Regio, competitor, Transdev Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transdev Germany
Context triple: [DB Regio, competitor, Transdev Germany]
  • A. Systra
    Systra is a global engineering and consulting firm specializing in mass transit and rail infrastructure projects.
  • B. Transdev (historical and significant shareholding) chosen
    Transdev is a major international public transport operator, historically backed by significant shareholding from Caisse des Dépôts et Consignations.
  • C. Daimler Truck AG
    Daimler Truck AG is a leading global commercial vehicle manufacturer specializing in trucks and buses, formed as an independent company after its separation from the former Daimler AG.
  • D. Casa Transports SA
    Casa Transports SA is the public company responsible for managing and developing urban transport infrastructure and services in Casablanca, Morocco, including the city’s tramway network.
  • E. Siemens Transportation Systems
    Siemens Transportation Systems is a division of Siemens AG that designs and manufactures rail vehicles and related transportation infrastructure and technologies.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8536c06c81908ef8ba8c39b4fa30 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1106ef9c8190811f7b70e784c962 completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:54 p.m.