Triple
T32258939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenstra elliptic-curve factorization method |
E824095
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | integer factorization algorithm |
C48726
|
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: integer factorization algorithm Context triple: [Lenstra elliptic-curve factorization method, instanceOf, integer factorization algorithm]
-
A.
algorithm in number theory
chosen
An algorithm in number theory is a finite, well-defined computational procedure designed to solve problems involving integers and their properties, such as divisibility, primality, and modular relationships.
-
B.
lattice basis reduction algorithm
A lattice basis reduction algorithm is a computational method that transforms a given basis of a lattice into a shorter, nearly orthogonal basis, often to simplify problems in number theory, cryptography, and optimization.
-
C.
primality test
A primality test is an algorithm or procedure used to determine whether a given integer is prime or composite.
-
D.
Gröbner basis algorithm
A Gröbner basis algorithm is a computational procedure that transforms a set of multivariate polynomials into a special generating set (a Gröbner basis) that simplifies solving and analyzing polynomial ideal problems such as solving systems of equations, ideal membership, and elimination.
-
E.
sieve method
A sieve method is a combinatorial technique in number theory used to count or estimate the size of sets of integers filtered by divisibility conditions, typically to study primes or almost-primes.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:41 a.m.