Triple
T14249333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFC (Automatic Fare Collection) |
E353216
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | public transport technology |
C33653
|
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: public transport technology Context triple: [AFC (Automatic Fare Collection), instanceOf, public transport technology]
-
A.
urban transit technology
Urban transit technology encompasses the systems, vehicles, infrastructure, and digital tools that enable efficient, safe, and sustainable movement of people within cities.
-
B.
public transportation infrastructure
Public transportation infrastructure encompasses the physical and organizational systems—such as buses, trains, stations, tracks, and supporting facilities—that enable the efficient movement of people via shared transit services.
-
C.
rail transit
Rail transit is a public transportation system that moves passengers or freight along fixed steel tracks using trains, subways, trams, or light rail vehicles, typically in urban or intercity corridors.
-
D.
electric transport system
An electric transport system is an integrated network of vehicles, infrastructure, and control technologies that enables the movement of people or goods using electricity as the primary energy source.
-
E.
public transit system
A public transit system is an organized network of shared transportation services—such as buses, trains, subways, and trams—designed to move large numbers of people efficiently within and between urban and regional areas.
- F. None of above. chosen
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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:08 a.m.