Triple
T15961441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Painlevé–Kruskal theorem |
E387067
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | result in differential equations |
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: result in differential equations Context triple: [Painlevé–Kruskal theorem, instanceOf, result in differential equations]
-
A.
result in partial differential equations
A result in partial differential equations is a proven statement or theorem that characterizes the existence, uniqueness, regularity, behavior, or qualitative properties of solutions to equations involving multivariable derivatives.
-
B.
result in mathematical physics
A result in mathematical physics is a rigorously proven statement that connects precise mathematical structures with physical theories, often clarifying, justifying, or predicting phenomena within a formal framework.
-
C.
equation in the calculus of variations
An equation in the calculus of variations is a mathematical relation, typically an Euler–Lagrange equation, that characterizes the functions making a given functional stationary (usually minimizing or maximizing its value).
-
D.
integro-differential equations
Integro-differential equations are mathematical equations that involve both integrals and derivatives of an unknown function, capturing systems where current rates of change depend on accumulated past behavior.
-
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. 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:53 a.m.