Triple

T1224316
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Wannsee station E26291 entity
Predicate ownedBy P347 FINISHED
Object Deutsche Bahn E22662 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: Deutsche Bahn | Statement: [Berlin-Wannsee station, ownedBy, Deutsche Bahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsche Bahn
Context triple: [Berlin-Wannsee station, ownedBy, 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. ÖBB
    ÖBB is Austria’s national railway company, operating most of the country’s passenger and freight train services across domestic and international routes.
  • D. ProRail
    ProRail is the Dutch government-owned company responsible for managing and maintaining the national railway infrastructure in the Netherlands.
  • E. Nederlandse Spoorwegen
    Nederlandse Spoorwegen is the principal Dutch railway company responsible for most passenger train services across the Netherlands.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be233fd88190996faf4105c0b8d7 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a0d69f88190b3352016289b4a18 completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:47 p.m.