Triple
T23176301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GM New Look bus |
E579014
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | transit bus model |
C45221
|
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 bus model Context triple: [GM New Look bus, instanceOf, transit bus model]
-
A.
bus model
chosen
A bus model is a conceptual representation of a bus, capturing its structural components, behavior, and interactions within a transportation system for purposes such as design, simulation, or analysis.
-
B.
transport model
A transport model is a conceptual or mathematical representation used to simulate and analyze the movement of people, goods, or resources across a network or spatial system under various conditions and constraints.
-
C.
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.
-
D.
demand-responsive bus service
A demand-responsive bus service is a flexible public transport system where routes and schedules are dynamically adjusted based on real-time passenger requests rather than fixed timetables and stops.
-
E.
bus service network
A bus service network is an interconnected system of bus routes, stops, schedules, and vehicles designed to transport passengers efficiently across a defined geographic area.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
Created at: April 17, 2026, 4:04 p.m.