Triple
T38561736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MVG |
E928093
|
entity |
| Predicate | operatesUrbanRailNetworkIn |
—
|
GENERATED |
| Object | Munich |
—
|
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: operatesUrbanRailNetworkIn Context triple: [MVG, operatesUrbanRailNetworkIn, Munich]
-
A.
operatesRailNetworkOf
chosen
Indicates that one entity manages and runs the rail network belonging to or associated with another entity.
-
B.
operatesRailLinesOnIsland
Indicates that a railway operator runs or manages rail lines located on a specific island.
-
C.
operatedUndergroundRailway
Indicates that an entity managed or ran an underground railway system as an operator or controlling organization.
-
D.
hasRailTransportOperator
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
-
E.
operatesRegionalRailServices
Indicates that an entity manages and runs passenger rail transport services within a specific region or set of regions.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.