Triple
T23281089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | combinatory logic |
E588865
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | theory of computation |
C7186
|
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: theory of computation Context triple: [combinatory logic, instanceOf, theory of computation]
-
A.
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.
-
B.
theoretical computer science conference
A theoretical computer science conference is a formal academic gathering where researchers present, discuss, and critique new results and ideas in areas such as algorithms, complexity theory, cryptography, and formal methods.
-
C.
foundational principle in theoretical computer science
chosen
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.
-
D.
automata theory technique
An automata theory technique is a formal method that uses abstract computational models like finite automata, pushdown automata, and Turing machines to analyze, design, and reason about languages, algorithms, and computational processes.
-
E.
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.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 17, 2026, 4:57 p.m.