Triple

T17520640
Position Surface form Disambiguated ID Type / Status
Subject Support Vector Machine E426671 entity
Predicate instanceOf P0 FINISHED
Object regression 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: regression algorithm
Context triple: [Support Vector Machine, instanceOf, regression algorithm]
  • A. 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.
  • B. model-based reinforcement learning algorithm
    A model-based reinforcement learning algorithm is a decision-making method that learns or uses an explicit model of the environment’s dynamics to plan and select actions that maximize long-term rewards.
  • C. recurrent artificial neural network
    A recurrent artificial neural network is a type of neural network where connections form directed cycles, allowing information to persist over time and enabling the modeling of sequential or temporal data.
  • D. redescending M-estimator
    A redescending M-estimator is a robust statistical estimator whose influence function decreases back toward zero for large residuals, thereby downweighting extreme outliers more strongly than standard M-estimators.
  • E. statistical model
    A statistical model is a mathematical representation of observed data and underlying random processes, used to describe relationships, make inferences, and generate predictions.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
Created at: April 10, 2026, 5:49 a.m.