Triple
T28734263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DDN |
E730750
|
entity |
| Predicate | associatedRailwayOperator |
—
|
GENERATED |
| Object | Deutsche Bahn |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRailwayOperator Context triple: [DDN, associatedRailwayOperator, Deutsche Bahn]
-
A.
hasRailTransportOperator
chosen
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
-
B.
railwayCompanyOnRoute
Indicates that a particular railway company operates or provides service on a specified route.
-
C.
railwayCompany
Indicates that one entity is a railway company that owns, operates, or manages railway services or infrastructure in relation to another entity.
-
D.
formerRailOperator
Indicates that an entity previously operated a rail service or railway system but no longer does so.
-
E.
hasNearbyRailwayOperator
Indicates that a railway operator is located close to or serves the vicinity of a given entity.
- F. None of above.
Provenance (1 batch)
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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 28, 2026, 5:59 a.m.