Triple
T5543710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | principle of least action |
E145354
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | variational principle |
C1000
|
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: variational principle Context triple: [principle of least action, instanceOf, variational principle]
-
A.
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).
-
B.
principle
chosen
A principle is a fundamental rule or guiding truth that shapes decisions, behavior, or understanding within a particular domain.
-
C.
necessary conditions for optimality
Necessary conditions for optimality are criteria that any candidate solution must satisfy in order to be considered a potential optimizer (such as a minimum, maximum, or saddle point) of a given objective function under specified constraints.
-
D.
partial differential equation
A partial differential equation is an equation that relates the partial derivatives of an unknown multivariable function, describing how it changes with respect to several independent variables.
-
E.
perturbative method in quantum mechanics
A perturbative method in quantum mechanics is an approximate technique for solving complex quantum systems by expanding physical quantities in a power series around a solvable reference problem, treating the difference as a small correction.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
Created at: March 22, 2026, 3:35 p.m.