Triple
T21088269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karp reduction |
E519560
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | polynomial-time many-one reduction |
C44231
|
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: polynomial-time many-one reduction Context triple: [Karp reduction, instanceOf, polynomial-time many-one reduction]
-
A.
property of rewriting systems
A property of rewriting systems is a formal characteristic—such as confluence, termination, or completeness—that describes how and whether sequences of rule-based transformations behave and lead to consistent outcomes.
-
B.
complexity theory paper
A complexity theory paper is a scholarly work that rigorously analyzes the computational resources required to solve problems, classifies them into complexity classes, and explores relationships or separations between these classes.
-
C.
model of computation
A model of computation is an abstract mathematical framework that defines how algorithms are represented and executed, specifying the rules, operations, and resources available for performing computations.
-
D.
collection of decision problems in group theory
A collection of decision problems in group theory is a conceptual class comprising questions that ask, for various groups and inputs, whether certain algebraic properties or relations hold, such as the word, conjugacy, or isomorphism problems.
-
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. chosen
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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
Created at: April 16, 2026, 2:50 p.m.