Triple
T25934661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freidlin–Wentzell theory |
E653522
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | large deviations theory |
C50117
|
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: large deviations theory Context triple: [Freidlin–Wentzell theory, instanceOf, large deviations theory]
-
A.
tool in large deviation theory
A tool in large deviation theory is a mathematical method or result—such as rate functions, the Gartner–Ellis theorem, or contraction principles—used to quantify and analyze the exponentially small probabilities of rare events in stochastic systems.
-
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.
statistical closure theory
Statistical closure theory is a framework in which an infinite hierarchy of statistical moment equations for a complex system is approximated by expressing higher-order moments in terms of lower-order ones, yielding a tractable closed set of equations.
-
D.
object in optimal stopping theory
An object in optimal stopping theory is an abstract entity (such as a stochastic process, payoff function, or stopping rule) whose evolution or evaluation over time determines when it is best to stop observing and take an action to maximize expected reward or minimize expected cost.
-
E.
random variable functional
A random variable functional is a mapping that takes one or more random variables (or their distributions) as input and returns a real-valued quantity summarizing some aspect of their probabilistic behavior.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 22, 2026, 8:39 a.m.