Triple
T20404778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuchsian differential equation |
E500438
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | linear ordinary differential equation |
C26955
|
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: linear ordinary differential equation Context triple: [Fuchsian differential equation, instanceOf, linear ordinary differential equation]
-
A.
linear differential equation
chosen
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.
-
B.
linear differential operator
A linear differential operator is a mapping that takes a function as input and returns a new function formed by a linear combination of the function and its derivatives.
-
C.
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.
-
D.
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.
-
E.
ode
An ode is a lyrical poem, often formal and elevated in style, that expresses praise, admiration, or deep reflection on a particular subject.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
Created at: April 16, 2026, 11:29 a.m.