Triple
T28363494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gomory cuts |
E718425
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | integer programming technique |
C53937
|
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: integer programming technique Context triple: [Gomory cuts, instanceOf, integer programming technique]
-
A.
mathematical program
A mathematical program is an optimization model that seeks to minimize or maximize an objective function subject to a set of mathematical constraints.
-
B.
combinatorial optimization problem
A combinatorial optimization problem is a mathematical task of finding an optimal object (such as a subset, sequence, or arrangement) from a finite but typically large set of discrete possibilities, subject to given constraints.
-
C.
mathematical optimization modeling language
A mathematical optimization modeling language is a high-level, declarative language used to express optimization problems (variables, objectives, and constraints) in a form that can be automatically translated and solved by optimization solvers.
-
D.
parameter estimation technique
A parameter estimation technique is a systematic method used to infer the numerical values of unknown model parameters from observed data, typically by optimizing a chosen error or likelihood criterion.
-
E.
simulation technique
A simulation technique is a systematic method for modeling and imitating the behavior of real or hypothetical systems over time to analyze their performance, predict outcomes, or support decision-making.
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
Created at: April 28, 2026, 12:53 a.m.