Triple
T16876396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finite Operator Calculus |
E421310
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | discrete analogue of differential calculus |
C37700
|
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: discrete analogue of differential calculus Context triple: [Finite Operator Calculus, instanceOf, discrete analogue of differential calculus]
-
A.
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.
-
B.
operation on analytic functions
An operation on analytic functions is a rule or transformation that takes one or more analytic (holomorphic) functions as input and produces another function, typically preserving analyticity within a given domain.
-
C.
arithmetical function
An arithmetical function is a function defined on the positive integers that assigns to each integer a (usually complex or real) value, often encoding number-theoretic properties such as divisors, primes, or multiplicative structure.
-
D.
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).
-
E.
numerical integration method for ordinary differential equations
A numerical integration method for ordinary differential equations is an algorithmic procedure that approximates the solution of an ODE over discrete steps by iteratively updating the dependent variable using information about its derivative.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:29 a.m.