Triple
T31841526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dijon–Langres railway |
E812821
|
entity |
| Predicate | locatedInCountryRailNetwork |
—
|
GENERATED |
| Object | SNCF network |
—
|
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: locatedInCountryRailNetwork Context triple: [Dijon–Langres railway, locatedInCountryRailNetwork, SNCF network]
-
A.
railNetworkCountry
chosen
Indicates that a rail network is located within, or primarily serves, a specific country.
-
B.
isNationalRailwaySystemOf
Indicates that one entity functions as the official national railway system serving and operating within the territory of another entity.
-
C.
railwayStationInCountry
Indicates that a railway station is located within the borders of a specified country.
-
D.
appliesToRailwayNetwork
Indicates that something is relevant or specifically applicable to a railway network as a whole.
-
E.
hasBorderRailConnectionWith
Indicates that two places are directly connected to each other by a cross-border railway line or service.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:49 p.m.