Triple
T24806678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korn inequality |
E620674
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | result in mathematical elasticity |
C21649
|
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: result in mathematical elasticity Context triple: [Korn inequality, instanceOf, result in mathematical elasticity]
-
A.
result in mathematical physics
A result in mathematical physics is a rigorously proven statement that connects precise mathematical structures with physical theories, often clarifying, justifying, or predicting phenomena within a formal framework.
-
B.
result in partial differential equations
chosen
A result in partial differential equations is a proven statement or theorem that characterizes the existence, uniqueness, regularity, behavior, or qualitative properties of solutions to equations involving multivariable derivatives.
-
C.
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).
-
D.
elastic modulus
Elastic modulus is a material property that quantifies the ratio of stress to strain within the elastic (reversible deformation) region, indicating the material’s stiffness.
-
E.
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.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
Created at: April 18, 2026, 4:50 a.m.