Triple
T25371864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFA |
E632951
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | nondeterministic finite automaton |
C50072
|
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: nondeterministic finite automaton Context triple: [NFA, instanceOf, nondeterministic finite automaton]
-
A.
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.
-
B.
operation in formal language theory
An operation in formal language theory is a well-defined procedure, such as union, concatenation, or Kleene star, that takes one or more formal languages as input and produces another formal language as output.
-
C.
operation on formal languages
An operation on formal languages is a rule or process, such as union, concatenation, or Kleene star, that takes one or more formal languages as input and produces another formal language as output.
-
D.
cellular automaton
A cellular automaton is a discrete computational model consisting of a grid of cells, each in one of a finite number of states, that evolve over time according to simple local rules based on the states of neighboring cells.
-
E.
formal grammar notation
A formal grammar notation is a precise symbolic system for defining the syntactic structure of languages by specifying how valid strings can be generated from a set of production rules.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 21, 2026, 1:38 p.m.