Triple
T29927136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTA GoRide app |
E760111
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | transit fare payment app |
C4038
|
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: transit fare payment app Context triple: [UTA GoRide app, instanceOf, transit fare payment app]
-
A.
public transit fare payment system
chosen
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 transportation payment compatibility
The public transportation payment compatibility class represents the ability of a transit system to accept, interoperate with, and correctly process various payment methods and fare media across different services and platforms.
-
C.
transit fare product
A transit fare product is a purchasable medium (such as a ticket, pass, or stored value) that grants a rider the right to access and use public transportation services under specified conditions.
-
D.
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.
-
E.
fare payment system
A fare payment system is a coordinated set of processes and technologies that calculates, collects, and validates payments for transportation services from passengers.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:16 p.m.