Triple
T27567475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benettin algorithm |
E695942
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | method for computing Lyapunov exponents |
C21648
|
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: method for computing Lyapunov exponents Context triple: [Benettin algorithm, instanceOf, method for computing Lyapunov exponents]
-
A.
tool in dynamical systems theory
chosen
A tool in dynamical systems theory is a conceptual or computational method—such as phase portraits, Lyapunov functions, or Poincaré maps—used to analyze, visualize, and understand the qualitative and quantitative behavior of dynamical systems over time.
-
B.
theory of dynamical systems
The theory of dynamical systems studies how points in a mathematical space evolve over time under repeated application of rules or equations, revealing patterns such as stability, chaos, and long-term behavior.
-
C.
numerical integration method for ordinary differential equations
A numerical integration method for ordinary differential equations is an algorithmic procedure that approximates the solution of an ODE over discrete steps by iteratively updating the dependent variable using information about its derivative.
-
D.
nonlinear dynamical system
A nonlinear dynamical system is a system whose evolution over time is governed by equations in which the change of state depends on the current state in a nonlinear way, often leading to complex behaviors such as bifurcations and chaos.
-
E.
method in differential equations
A method in differential equations is a systematic procedure or algorithm used to find exact or approximate solutions to equations involving unknown functions and their derivatives.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 27, 2026, 1:42 p.m.