Triple
T30446498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solomonoff induction |
E774592
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | theory in algorithmic information theory |
C57012
|
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: theory in algorithmic information theory Context triple: [Solomonoff induction, instanceOf, theory in algorithmic information theory]
-
A.
pioneer of algorithmic information theory
A pioneer of algorithmic information theory is a foundational thinker who developed the core concepts and formal frameworks for measuring information, complexity, and randomness using algorithms and computation.
-
B.
structure in computability theory
A structure in computability theory is a mathematical object consisting of a domain together with specified operations, relations, and constants, studied with respect to the computability or definability of its elements and functions.
-
C.
set of axioms in information theory
A set of axioms in information theory is a foundational collection of formal assumptions that precisely define and constrain measures of information, uncertainty, and related concepts so that theorems and results can be derived consistently.
-
D.
set of axioms in information theory
A set of axioms in information theory is a foundational collection of formal principles that precisely define and constrain measures of information, uncertainty, and related concepts so that consistent theorems and results can be derived.
-
E.
equivalence classes under Turing reducibility
Equivalence classes under Turing reducibility are sets of decision problems (or sets of natural numbers) where each member can compute every other via a Turing reduction, grouping problems by their mutual computational power.
- F. None of above. chosen
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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:08 p.m.