Triple
T23470570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green's function |
E569215
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | tool for solving differential equations |
C32200
|
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: tool for solving differential equations Context triple: [Green's function, instanceOf, tool for solving differential equations]
-
A.
ordinary differential equation solver
chosen
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.
-
B.
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.
-
C.
result in differential equations
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.
-
D.
ode
An ode is a lyrical poem, often formal and elevated in style, that expresses praise, admiration, or deep reflection on a particular subject.
-
E.
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.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 5:54 p.m.