Triple

T6784528
Position Surface form Disambiguated ID Type / Status
Subject U Bundestag station E155766 entity
Predicate owner P347 FINISHED
Object Berliner Verkehrsbetriebe E71401 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: Berliner Verkehrsbetriebe | Statement: [U Bundestag station, owner, Berliner Verkehrsbetriebe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berliner Verkehrsbetriebe
Context triple: [U Bundestag station, owner, Berliner Verkehrsbetriebe]
  • A. Berliner Verkehrsbetriebe chosen
    Berliner Verkehrsbetriebe is Berlin’s main public transport company, operating the city’s extensive network of U-Bahn trains, trams, and buses.
  • B. S-Bahn Berlin GmbH
    S-Bahn Berlin GmbH is the company responsible for operating Berlin’s urban rapid transit S-Bahn rail network.
  • C. Verkehrsverbund Berlin-Brandenburg
    Verkehrsverbund Berlin-Brandenburg is the integrated public transport authority that coordinates and manages fares and services across Berlin and the surrounding Brandenburg region.
  • D. Basler Verkehrs-Betriebe
    Basler Verkehrs-Betriebe is the main public transport company of Basel, Switzerland, operating the city’s tram and bus services.
  • E. S-Bahn Hamburg GmbH
    S-Bahn Hamburg GmbH is the company that operates Hamburg’s suburban rapid transit rail network within the German railway system.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28bdc3c8190aa60616d89db66ed completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74253f9b4819099057c730237c269 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:14 p.m.