Triple
T10803591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ornstein–Uhlenbeck process |
E254905
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | continuous-time stochastic process |
C1601
|
CONCEPT FINISHED |
Disambiguation candidates (1 decision)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: continuous-time stochastic process Context triple: [Ornstein–Uhlenbeck process, instanceOf, continuous-time stochastic process]
-
A.
continuous-time process
chosen
A continuous-time process is a mathematical model describing how a quantity evolves over time in a way that is defined at every instant on a continuous time axis.
-
B.
stochastic process
A stochastic process is a collection of random variables indexed by time or space that describes the evolution of a system subject to inherent randomness.
-
C.
continuous-path process
A continuous-path process is a stochastic process whose sample paths are continuous functions of time, meaning they have no jumps or discontinuities.
-
D.
random process
A random process is a collection of random variables indexed by time or space that models the evolution of a system subject to inherent uncertainty.
-
E.
concept in stochastic process theory
A concept in stochastic process theory is an abstract construct used to model and analyze systems that evolve randomly over time, capturing their probabilistic dynamics and dependencies.
- F. None of above.
Provenance (1 batch)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d6aa61c15c8190a1839550c56e75e1 |
elicitation | completed |
Created at: April 8, 2026, 9:18 p.m.