Triple

T19325563
Position Surface form Disambiguated ID Type / Status
Subject Brenz Railway E483337 entity
Predicate infrastructureOperator P15572 FINISHED
Object DB Netz 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: DB Netz | Statement: [Brenz Railway, infrastructureOperator, DB Netz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Netz
Context triple: [Brenz Railway, infrastructureOperator, DB Netz]
  • A. DB Netz
    DB Netz is the infrastructure division of Deutsche Bahn responsible for operating and maintaining Germany’s national railway network.
  • B. DB Netz AG chosen
    DB Netz AG is a subsidiary of Deutsche Bahn responsible for operating and maintaining Germany’s national railway infrastructure network.
  • C. Netze
    Netze is the German name for the Noteć, a river in north-central Poland that is a tributary of the Warta.
  • D. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • E. DSN
    DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8bb28c81909b3a3bbb96b69b4f completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:33 p.m.