Triple

T4060841
Position Surface form Disambiguated ID Type / Status
Subject Berlin U-Bahn line U7 E86206 entity
Predicate operator P179 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: [Berlin U-Bahn line U7, operator, Berliner Verkehrsbetriebe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berliner Verkehrsbetriebe
Context triple: [Berlin U-Bahn line U7, operator, 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. Berliner Flughafen-Gesellschaft
    Berliner Flughafen-Gesellschaft was the municipal company responsible for operating Berlin’s airports, notably during the Cold War era.
  • E. Grün Berlin GmbH
    Grün Berlin GmbH is a state-owned company responsible for planning, developing, and managing major public parks and open spaces in Berlin.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd4acb0819093bcffcd05ed8e6f completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6f942248190b390cf3cdbbbab5e completed March 14, 2026, 8:37 p.m.
Created at: March 9, 2026, 3:38 p.m.