Triple
T18929555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Du Bois-Reymond theory of orders of infinity |
E463064
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | asymptotic growth theory |
C27362
|
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: asymptotic growth theory Context triple: [Du Bois-Reymond theory of orders of infinity, instanceOf, asymptotic growth theory]
-
A.
fast-growing function
chosen
A fast-growing function is a mathematical function whose values increase more rapidly than those of standard elementary functions (like polynomials or exponentials), often outpacing any fixed level of such growth rates.
-
B.
optimal growth model
An optimal growth model is a dynamic economic framework that determines how a representative agent or planner allocates consumption and investment over time to maximize intertemporal welfare subject to resource and technological constraints.
-
C.
theory of polynomial sequences
A theory of polynomial sequences studies families of polynomials indexed by integers (or other discrete parameters), analyzing their algebraic, combinatorial, and analytic properties and the relations between successive terms.
-
D.
method for asymptotic evaluation of integrals
A method for asymptotic evaluation of integrals is a collection of analytical techniques used to approximate the behavior of integrals in limiting regimes (such as large parameters) by extracting their dominant contributions.
-
E.
complexity measure
A complexity measure is a quantitative function or criterion used to assess and compare the intricacy, difficulty, or resource requirements of objects, systems, or problems.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 10, 2026, 11:59 a.m.