Triple
T15860698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTL* |
E384578
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | temporal logic |
C17348
|
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: temporal logic Context triple: [CTL*, instanceOf, temporal logic]
-
A.
logic for concurrent systems
chosen
Logic for concurrent systems is a formal framework for specifying and reasoning about the behaviors, interactions, and correctness properties of systems in which multiple processes execute and communicate simultaneously.
-
B.
formal logic
Formal logic is the systematic study of valid reasoning and inference using precisely defined symbols, rules, and structures independent of specific content.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:50 a.m.