Triple
T31792227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | structural operational semantics |
E811501
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | operational semantics |
C7185
|
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: operational semantics Context triple: [structural operational semantics, instanceOf, operational semantics]
-
A.
axiomatic semantics
Axiomatic semantics is a formal method for defining the meaning of programs by specifying logical assertions (preconditions and postconditions) that describe the behavior and correctness of program constructs.
-
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.
nonclassical logic semantics
Nonclassical logic semantics is the study of meaning and truth conditions for logics that deviate from classical principles, such as by altering truth values, inference rules, or structural constraints.
-
E.
model of computation
chosen
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.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:39 p.m.