Triple
T24823603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spectral Graph Theory |
E621125
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | area of discrete mathematics |
C37698
|
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: area of discrete mathematics Context triple: [Spectral Graph Theory, instanceOf, area of discrete mathematics]
-
A.
area of combinatorics
chosen
An area of combinatorics is a branch of the mathematical field of combinatorics that focuses on a specific family of discrete structures, techniques, and problems, such as graph theory, extremal combinatorics, or probabilistic methods.
-
B.
branch of mathematical logic
A branch of mathematical logic is a specialized area of study within logic that investigates formal systems, their structures, and the principles of valid reasoning using mathematical methods.
-
C.
area of algebraic geometry
An area of algebraic geometry is a subfield focused on a specific collection of problems, techniques, and structures related to the study of solutions to polynomial equations and their geometric properties.
-
D.
result in extremal combinatorics
A result in extremal combinatorics is a theorem that determines or bounds the maximum or minimum size of a discrete structure satisfying specified combinatorial constraints.
-
E.
foundational principle in theoretical computer science
A foundational principle in theoretical computer science is a core, abstract concept or rule—such as computability, complexity, or formal language theory—that underlies and unifies the study of algorithms, computation models, and their inherent limits.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
Created at: April 18, 2026, 5:05 a.m.