Triple

T7064928
Position Surface form Disambiguated ID Type / Status
Subject Ulm–Sigmaringen railway E164321 entity
Predicate operator P179 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: [Ulm–Sigmaringen railway, operator, DB Netz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Netz
Context triple: [Ulm–Sigmaringen railway, operator, 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a3c36c819080942c59f1830ae8 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788ba7af88190aeaf3205255af8ad completed March 28, 2026, 7:52 a.m.
Created at: March 27, 2026, 2:39 p.m.