Triple
T25725553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itô–Taylor expansion |
E645107
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | tool in stochastic analysis |
C42144
|
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: tool in stochastic analysis Context triple: [Itô–Taylor expansion, instanceOf, tool in stochastic analysis]
-
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.
tool in geometric analysis
A tool in geometric analysis is a mathematical method, concept, or construction used to study and characterize the geometric and analytic properties of spaces, shapes, and mappings.
-
C.
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.
-
D.
tool in signal processing
A tool in signal processing is a conceptual or physical mechanism—such as an algorithm, filter, transform, or software module—used to analyze, modify, or extract information from signals.
-
E.
tool in approximation theory
chosen
A tool in approximation theory is a mathematical method, theorem, or construct used to analyze, measure, or improve how well functions or data can be approximated by simpler or more tractable representations.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
Created at: April 21, 2026, 10:23 p.m.