Triple

T805124
Position Surface form Disambiguated ID Type / Status
Subject OpenAI Gym E17413 entity
Predicate instanceOf P0 FINISHED
Object reinforcement learning library C6080 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: reinforcement learning library
Context triple: [OpenAI Gym, instanceOf, reinforcement learning library]
  • A. planning library
    A planning library is a reusable collection of algorithms, data structures, and tools that support the creation, evaluation, and optimization of plans or schedules within software applications.
  • B. machine learning book
    A machine learning book is a structured, written resource that explains the theories, algorithms, and practical applications of machine learning to help readers understand and apply data-driven modeling techniques.
  • C. deep learning model
    A deep learning model is a computational architecture composed of multiple layers of interconnected processing units (neurons) that automatically learn hierarchical representations from data to perform tasks such as classification, prediction, or generation.
  • D. research simulator
    A research simulator is a virtual environment or tool that models real-world research processes, allowing users to design, conduct, and analyze simulated studies for learning, experimentation, or decision-making.
  • E. EDL simulation framework
    A EDL simulation framework is a software environment that models and analyzes the dynamics, control, and performance of spacecraft during the Entry, Descent, and Landing phase.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
Created at: March 1, 2026, 7:38 p.m.