Triple
T25795411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago and North Western Railway commuter network |
E649665
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | suburban passenger rail system |
C74
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: suburban passenger rail system Context triple: [Chicago and North Western Railway commuter network, instanceOf, suburban passenger rail system]
-
A.
suburban commuter train
A suburban commuter train is a passenger rail service designed to transport people efficiently between residential suburbs and urban centers, typically operating on fixed schedules with frequent stops during peak travel times.
-
B.
passenger rail service
Passenger rail service is a transportation system that operates trains to carry people between locations on a scheduled basis, typically offering various classes of comfort and amenities.
-
C.
commuter rail line
chosen
A commuter rail line is a passenger train service that operates on fixed tracks and schedules to connect suburban or outlying areas with a central city, primarily serving daily work and school commuters.
-
D.
commuter rail fare system
A commuter rail fare system is a structured method for calculating, collecting, and validating payments for passengers traveling on regional rail services, typically based on zones, distance, or time of travel.
-
E.
rapid rail system
A rapid rail system is a high-speed, high-capacity railway network designed to transport large numbers of passengers quickly and efficiently between urban or regional destinations using dedicated tracks and frequent 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 22, 2026, 6:29 a.m.