Triple

T26966441
Position Surface form Disambiguated ID Type / Status
Subject Turing degrees E679185 entity
Predicate instanceOf P0 FINISHED
Object equivalence classes under Turing reducibility C52302 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: equivalence classes under Turing reducibility
Context triple: [Turing degrees, instanceOf, equivalence classes under Turing reducibility]
  • A. reduction between decision problems
    A reduction between decision problems is a systematic transformation that converts instances of one decision problem into instances of another such that solving the latter correctly also yields a correct solution to the former.
  • B. polynomial-time many-one reduction
    A polynomial-time many-one reduction is a function computable in polynomial time that transforms instances of one decision problem into instances of another such that the original instance is a "yes" instance if and only if the transformed instance is a "yes" instance.
  • C. theoretical computer science blog
    A theoretical computer science blog is an online platform that explores and explains abstract computational concepts, models, and proofs, often connecting cutting-edge research with clear, insightful commentary for students, researchers, and enthusiasts.
  • D. collection of decision problems in group theory
    A collection of decision problems in group theory is a conceptual class comprising questions that ask, for various groups and inputs, whether certain algebraic properties or relations hold, such as the word, conjugacy, or isomorphism problems.
  • E. 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.
  • 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_69eeeb4f3a448190b1e94b2d4776c16e completed April 27, 2026, 4:51 a.m.
Created at: April 27, 2026, 6:36 a.m.