Triple
T24225342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kleene star |
E601578
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | operation in formal language theory |
C48921
|
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: operation in formal language theory Context triple: [Kleene star, instanceOf, operation in formal language theory]
-
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.
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.
-
C.
formal language classification scheme
A formal language classification scheme is a systematic framework for categorizing formal languages based on their generative or recognitional power, typically using hierarchies such as the Chomsky hierarchy.
-
D.
hierarchy of formal grammars
A hierarchy of formal grammars is an organized classification of grammars into levels based on their generative power and structural constraints, such as the Chomsky hierarchy from regular to recursively enumerable languages.
-
E.
property of rewriting systems
A property of rewriting systems is a formal characteristic—such as confluence, termination, or completeness—that describes how and whether sequences of rule-based transformations behave and lead to consistent outcomes.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
Created at: April 18, 2026, midnight