Triple
T34966578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasai Road railway station |
E1008415
|
entity |
| Predicate | locatedInRailwayNetwork |
—
|
GENERATED |
| Object | Mumbai Suburban Railway |
—
|
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: locatedInRailwayNetwork Context triple: [Vasai Road railway station, locatedInRailwayNetwork, Mumbai Suburban Railway]
-
A.
connectsToRailwayNetwork
Indicates that one entity is physically or functionally linked to a railway network, allowing access or transfer between them.
-
B.
isRailwayIn
Indicates that a railway is located within or passes through a specified geographic or administrative area.
-
C.
isOnRailway
chosen
Indicates that one entity is positioned on, aligned with, or traveling along a railway track or railway system in relation to another entity.
-
D.
usesRailInfrastructureOf
Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
-
E.
connectsToRailStation
Indicates that one entity has a direct link, route, or access connection to a rail station.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.