Triple

T11191894
Position Surface form Disambiguated ID Type / Status
Subject Rhöndorf (Rhein) station E264821 entity
Predicate owner P347 FINISHED
Object DB Netz E390675 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: DB Netz | Statement: [Rhöndorf (Rhein) station, owner, DB Netz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Netz
Context triple: [Rhöndorf (Rhein) station, owner, 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. DB Netz (for most lines)
    DB Netz is the rail infrastructure division of Deutsche Bahn responsible for operating and maintaining most of Germany’s railway network.
  • 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 (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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8be025481909d311b587418dfb2 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483ec6ca8819082713a278c987756 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.