Triple
T20558608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitting semantics for modal logic |
E504785
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | semantics for modal logic |
C33913
|
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: semantics for modal logic Context triple: [Fitting semantics for modal logic, instanceOf, semantics for modal logic]
-
A.
possible‑worlds semantics
chosen
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.
-
B.
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.
-
C.
philosophical theory of conditionals
A philosophical theory of conditionals is a systematic account of the meaning, truth-conditions, and logical behavior of “if–then” statements, explaining how they relate to reasoning, probability, and counterfactual situations.
-
D.
formal logic
Formal logic is the systematic study of valid reasoning and inference using precisely defined symbols, rules, and structures independent of specific content.
-
E.
doctrine of conditional predication
The doctrine of conditional predication is a logical and philosophical principle stating that a subject can be truly predicated of a property or attribute only under certain specified conditions or circumstances.
- 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.