Triple
T36877091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatou set |
E911368
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | object in complex dynamics |
C21353
|
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: object in complex dynamics Context triple: [Fatou set, instanceOf, object in complex dynamics]
-
A.
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.
-
B.
hyperbolic dynamical system
A hyperbolic dynamical system is one in which the tangent space at each point of an invariant set splits into uniformly contracting and expanding directions, leading to robust, structurally stable behavior under small perturbations.
-
C.
fractal
chosen
A fractal is a complex geometric pattern that exhibits self-similarity at different scales, often generated by repeating a simple process recursively.
-
D.
tool in dynamical systems theory
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.
-
E.
model in complex systems
A model in complex systems is a simplified, often computational or mathematical representation of interacting components whose collective behavior exhibits emergent, nonlinear, and adaptive dynamics that cannot be easily inferred from the properties of individual parts.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.