Triple
T37417846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metra fare zones |
E929765
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | distance-based fare system |
C45147
|
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: distance-based fare system Context triple: [Metra fare zones, instanceOf, distance-based fare system]
-
A.
public transit fare payment system
A public transit fare payment system manages the calculation, collection, validation, and tracking of passenger payments across various transit services and media (e.g., cards, mobile apps, tickets) to authorize and record travel.
-
B.
public transport fare zoning system
A public transport fare zoning system divides a service area into geographic zones and calculates ticket prices based on the number and combination of zones a passenger travels through.
-
C.
commuter rail fare system
chosen
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.
-
D.
fare network
A fare network is an interconnected system of transportation routes, services, and pricing structures through which passengers can travel using coordinated tickets or payment methods.
-
E.
contactless smart card fare system
A contactless smart card fare system is an electronic payment and access control solution for public transportation that uses proximity cards or devices to automatically deduct fares and manage rider accounts when tapped on compatible readers.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.