Triple
T25728625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volterra series |
E645177
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | nonlinear system representation |
C29201
|
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: nonlinear system representation Context triple: [Volterra series, instanceOf, nonlinear system representation]
-
A.
nonlinear function
A nonlinear function is a mathematical relationship between variables in which the rate of change is not constant, so its graph does not form a straight line.
-
B.
mathematical representation
chosen
A mathematical representation is a formal, structured way of expressing abstract mathematical objects or relationships—such as numbers, functions, or systems—using symbols, equations, diagrams, or other mathematical constructs to enable analysis and reasoning.
-
C.
fully nonlinear equation
A fully nonlinear equation is a differential equation in which the highest-order derivatives appear in a genuinely nonlinear way, not just linearly or as coefficients of lower-order terms.
-
D.
phase-space representation
A phase-space representation is a way of describing a physical system by specifying its state as a point or distribution in a multidimensional space whose axes are the system’s generalized coordinates and their conjugate momenta.
-
E.
landmark paper in nonlinear science
A landmark paper in nonlinear science is a seminal research work that fundamentally advances understanding of complex, nonlinear phenomena and significantly shapes subsequent theory, methods, or applications in the field.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
Created at: April 21, 2026, 11:09 p.m.