Triple

T19592842
Position Surface form Disambiguated ID Type / Status
Subject Berlin Tiergarten S-Bahn station E470278 entity
Predicate owner P347 FINISHED
Object Deutsche Bahn 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: Deutsche Bahn | Statement: [Berlin Tiergarten S-Bahn station, owner, Deutsche Bahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsche Bahn
Context triple: [Berlin Tiergarten S-Bahn station, owner, Deutsche Bahn]
  • A. Deutsche Bahn chosen
    Deutsche Bahn is Germany's state-owned national railway company and one of the largest rail and logistics operators in Europe.
  • B. Deutsche Reichsbahn
    Deutsche Reichsbahn was the state-owned railway company of Germany for much of the 20th century, operating the national rail network before its functions were absorbed into the modern Deutsche Bahn.
  • C. Südostbahn
    Südostbahn is a Swiss railway company that operates regional and suburban train services, including lines within the Zürich S-Bahn network.
  • D. ÖBB
    ÖBB is Austria’s national railway company, operating most of the country’s passenger and freight train services across domestic and international routes.
  • E. Abellio Rail Mitteldeutschland
    Abellio Rail Mitteldeutschland is a German regional railway operator providing passenger train services in the central Germany area.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64057460c8190962e2e58f06b3985 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:43 p.m.