Triple
T32258282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ROBDD |
E824078
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | reduced ordered binary decision diagram |
C58140
|
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: reduced ordered binary decision diagram Context triple: [ROBDD, instanceOf, reduced ordered binary decision diagram]
-
A.
reduction between decision problems
A reduction between decision problems is a systematic transformation that converts instances of one decision problem into instances of another such that solving the latter correctly also yields a correct solution to the former.
-
B.
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.
-
C.
binary computer
A binary computer is a digital computing system that represents and processes all data and instructions using only two discrete states, typically denoted as 0 and 1.
-
D.
directed graph
A directed graph is a set of vertices connected by edges that have a specific direction, indicating ordered relationships from one vertex to another.
-
E.
polynomial-time many-one reduction
A polynomial-time many-one reduction is a function computable in polynomial time that transforms instances of one decision problem into instances of another such that the original instance is a "yes" instance if and only if the transformed instance is a "yes" instance.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:41 a.m.