Triple
T34212370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lower right Dini derivative |
E877691
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Dini derivative |
C58796
|
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: Dini derivative Context triple: [lower right Dini derivative, instanceOf, Dini derivative]
-
A.
differential
A differential is a mechanical device in a vehicle’s drivetrain that allows wheels on the same axle to rotate at different speeds while transmitting power, especially when turning.
-
B.
differential inequality
chosen
A differential inequality is a mathematical relation that bounds a derivative (or derivatives) of an unknown function above or below by another function or expression, rather than setting them equal.
-
C.
fractional derivative
A fractional derivative is a generalization of the ordinary derivative to non-integer (fractional) orders, capturing intermediate rates of change and memory effects in functions and systems.
-
D.
discrete analogue of differential calculus
A discrete analogue of differential calculus is a mathematical framework that extends concepts like derivatives, integrals, and differential equations to functions defined on discrete domains, typically using difference operators and summation.
-
E.
stability concept in functional equations
A stability concept in functional equations studies how small deviations from an exact functional relationship affect the existence and form of nearby exact solutions, typically quantifying when approximate solutions imply true solutions close in some specified sense.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:55 a.m.