Triple
T20558653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kripke–Kleene semantics in logic programming |
E504786
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | non-classical logic semantics |
C33914
|
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: non-classical logic semantics Context triple: [Kripke–Kleene semantics in logic programming, instanceOf, non-classical logic semantics]
-
A.
nonclassical logic semantics
chosen
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.
-
B.
non-classical logic
Non-classical logic is a broad family of logical systems that modify or reject one or more principles of classical logic (such as bivalence, excluded middle, or monotonicity) to better model reasoning in contexts like vagueness, inconsistency, modality, or resource sensitivity.
-
C.
non-classical theory of truth
A non-classical theory of truth is an account of truth that revises or rejects classical logical principles (such as bivalence or excluded middle) to handle phenomena like vagueness, paradoxes, or semantic indeterminacy.
-
D.
possible‑worlds semantics
Possible-worlds semantics is a formal framework in logic and linguistics that interprets the meaning of sentences by evaluating their truth across a range of alternative, systematically structured possible worlds.
-
E.
formal logic
Formal logic is the systematic study of valid reasoning and inference using precisely defined symbols, rules, and structures independent of specific content.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
Created at: April 16, 2026, 11:38 a.m.