Triple

T18723664
Position Surface form Disambiguated ID Type / Status
Subject Markov localization E457843 entity
Predicate instanceOf P0 FINISHED
Object probabilistic algorithm C6819 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: probabilistic algorithm
Context triple: [Markov localization, instanceOf, probabilistic algorithm]
  • A. probabilist
    A probabilist is a mathematician or scientist who studies probability theory, focusing on the analysis and modeling of random phenomena and uncertainty.
  • B. algorithm chosen
    An algorithm is a finite, well-defined sequence of computational steps or rules designed to solve a specific problem or perform a particular task.
  • C. random process
    A random process is a collection of random variables indexed by time or space that models the evolution of a system subject to inherent uncertainty.
  • D. Monte Carlo reinforcement learning algorithm
    A Monte Carlo reinforcement learning algorithm is a method that learns optimal policies by estimating value functions from complete, sampled episodes of experience without requiring a model of the environment’s dynamics.
  • E. stochastic process
    A stochastic process is a collection of random variables indexed by time or space that describes the evolution of a system subject to inherent randomness.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 11:50 a.m.