Triple
T23587176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernoulli differential equation |
E582378
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | first-order nonlinear differential equation |
C26954
|
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: first-order nonlinear differential equation Context triple: [Bernoulli differential equation, instanceOf, first-order nonlinear differential equation]
-
A.
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.
-
B.
ordinary differential equation
chosen
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.
-
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.
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.
-
E.
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.
- 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
Created at: April 17, 2026, 6:41 p.m.