Triple

T6551988
Position Surface form Disambiguated ID Type / Status
Subject Ahaus station E151150 entity
Predicate railwayDivision P1921 FINISHED
Object DB Netz E88661 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: [Ahaus station, railwayDivision, DB Netz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Netz
Context triple: [Ahaus station, railwayDivision, DB Netz]
  • A. DB Netz chosen
    DB Netz is the infrastructure division of Deutsche Bahn responsible for operating and maintaining Germany’s national railway network.
  • B. DB Netz AG
    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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae05cd988190a013226b14cd98f0 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55416e48190b574e37a6f2e6690 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:51 p.m.