Triple
T13946170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | no miracles argument |
E335390
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | inference to the best explanation |
C11238
|
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: inference to the best explanation Context triple: [no miracles argument, instanceOf, inference to the best explanation]
-
A.
theory of argument
A theory of argument is a conceptual framework that analyzes how reasons support claims, specifying the structures, principles, and standards that distinguish sound, persuasive arguments from weak or fallacious ones.
-
B.
scientific heuristic
chosen
A scientific heuristic is a practical, experience-based rule or strategy that guides researchers in generating hypotheses, designing experiments, or interpreting data without guaranteeing an optimal or strictly logical solution.
-
C.
statistical inference method
A statistical inference method is a systematic procedure for drawing conclusions about a population’s properties based on observed sample data, often quantifying uncertainty through probabilities or confidence measures.
-
D.
treatise on logic
A treatise on logic is a systematic, often formal written work that analyzes the principles of valid reasoning, argument structure, and inference.
-
E.
theory in artificial intelligence
A theory in artificial intelligence is a systematic, formal framework that explains, predicts, or guides the design of intelligent behavior in machines by defining underlying principles, models, and assumptions.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
Created at: April 9, 2026, 10:17 p.m.