Triple
T13035653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monge–Ampère equation |
E326554
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | fully nonlinear equation |
C32374
|
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: fully nonlinear equation Context triple: [Monge–Ampère equation, instanceOf, fully nonlinear equation]
-
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.
variable-coefficient differential equation
A variable-coefficient differential equation is a differential equation in which the coefficients multiplying the unknown function and its derivatives depend on the independent variable(s) rather than being constant.
-
C.
linear differential equation
A linear differential equation is an equation involving an unknown function and its derivatives in which the function and its derivatives appear only to the first power and are not multiplied together, with coefficients that may depend on the independent variable.
-
D.
ordinary differential equation
An ordinary differential equation is an equation involving an unknown function of a single independent variable and its derivatives, relating them through specified functional relationships.
-
E.
equidimensional equation
An equidimensional equation is a differential equation in which each term scales by the same factor under a power-law change of the independent variable, allowing it to be solved via a substitution that reduces it to one with constant coefficients.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 8:55 p.m.