Triple
T36007119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Painlevé transcendents |
E1041302
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | solution of differential equation |
C36744
|
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: solution of differential equation Context triple: [Painlevé transcendents, instanceOf, solution of differential equation]
-
A.
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.
-
B.
ordinary differential equation solver
An ordinary differential equation solver is a computational tool or algorithm that numerically approximates solutions to initial value or boundary value problems defined by ordinary differential equations.
-
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.
result in differential equations
chosen
A result in differential equations is a proven statement or theorem that characterizes the behavior, existence, uniqueness, or properties of solutions to differential equations under specified conditions.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.