Triple
T30284413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noether boundary value problems |
E770192
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | class of boundary value problems |
C41097
|
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: class of boundary value problems Context triple: [Noether boundary value problems, instanceOf, class of boundary value problems]
-
A.
boundary value problem
chosen
A boundary value problem is a mathematical problem in which a differential equation is solved subject to specified conditions (boundary values) imposed on the solution at the boundaries of the domain.
-
B.
free boundary problem
A free boundary problem is a type of mathematical or physical problem in which the shape or position of the boundary of the domain is not known in advance and must be determined as part of the solution.
-
C.
differential equation with singular potential
A differential equation with singular potential is an equation in which the coefficient representing the potential term becomes unbounded or undefined at certain points, leading to singular behavior in the solutions.
-
D.
initial value problem
An initial value problem is a type of differential equation together with specified values of the unknown function (and possibly its derivatives) at a starting point, from which a unique solution is sought.
-
E.
method in differential equations
A method in differential equations is a systematic procedure or algorithm used to find exact or approximate solutions to equations involving unknown functions and their derivatives.
- 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_69f224868fa8819099127eaf8855a28f |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:45 p.m.