Triple
T36898801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robinson unification algorithm |
E911972
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | unification algorithm |
C29362
|
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: unification algorithm Context triple: [Robinson unification algorithm, instanceOf, unification algorithm]
-
A.
unification procedure
chosen
A unification procedure is an algorithm that determines whether there exists a substitution that makes multiple symbolic expressions identical, and if so, computes the most general such substitution.
-
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.
algorithm
An algorithm is a finite, well-defined sequence of computational steps or rules designed to solve a specific problem or perform a particular task.
-
D.
unification act
A unification act is a formal legal or political measure that merges separate entities—such as states, organizations, or systems—into a single, integrated whole under a common authority or framework.
-
E.
framework in automated theorem proving
A framework in automated theorem proving is a structured environment of algorithms, data structures, and interfaces that coordinates the representation of logical formulas, the application of inference rules, and the management of proof search to automatically derive or verify theorems.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.