Triple
T34760823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Methods of Numerical Integration |
E1002060
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | numerical analysis text |
C20987
|
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: numerical analysis text Context triple: [Methods of Numerical Integration, instanceOf, numerical analysis text]
-
A.
criterion in numerical analysis
A criterion in numerical analysis is a quantitative condition or rule—such as a tolerance, convergence test, or stopping condition—used to assess the accuracy, stability, or termination of an algorithm or computational method.
-
B.
numerical analysis phenomenon
A numerical analysis phenomenon is a notable behavior or effect that arises from the use of approximate numerical methods to solve mathematical problems, often revealing limitations, instabilities, or unexpected patterns in computations.
-
C.
scientific computing reference
chosen
A scientific computing reference is a comprehensive resource that provides definitions, formulas, algorithms, and best practices for performing numerical analysis, data processing, and computational modeling in scientific and engineering contexts.
-
D.
computational mathematics program
A computational mathematics program is a software application designed to perform, analyze, and visualize mathematical computations using numerical, symbolic, or algorithmic methods.
-
E.
numerical linear algebra library
A numerical linear algebra library is a collection of optimized routines and data structures for performing matrix and vector operations, decompositions, and related numerical computations.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.