Triple

T18301187
Position Surface form Disambiguated ID Type / Status
Subject jax.random E438359 entity
Predicate hostedOn P16030 FINISHED
Object GitHub (google/jax) — NE NERFINISHED

How this triple was built (3 steps)

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.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: GitHub (google/jax) | Statement: [jax.random, hostedOn, GitHub (google/jax)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GitHub (google/jax)
Context triple: [jax.random, hostedOn, GitHub (google/jax)]
  • A. jax.experimental
    jax.experimental is a submodule of the JAX library that provides access to experimental, unstable, or cutting-edge numerical and machine learning features not yet part of the stable API.
  • B. TensorFlow Probability (JAX backend)
    TensorFlow Probability (JAX backend) is a probabilistic programming and statistical modeling library that runs on JAX, providing tools for Bayesian inference, probabilistic layers, and advanced distributions with XLA-accelerated computation.
  • C. XLA
    XLA (Accelerated Linear Algebra) is a domain-specific compiler for linear algebra that optimizes and accelerates machine learning computations on hardware such as TPUs and GPUs.
  • D. GitHub Copilot
    GitHub Copilot is an AI-powered code completion and pair-programming tool that suggests code and entire functions directly within developers’ editors.
  • E. Jupyter
    Jupyter is an open-source project that provides interactive computing tools, most notably Jupyter Notebooks, for data science, scientific computing, and education across multiple programming languages.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GitHub (google/jax)
Target entity description: GitHub (google/jax) is the official repository for JAX, a high-performance numerical computing and machine learning library for Python that combines NumPy-like APIs with automatic differentiation and accelerator support.
  • A. jax.experimental
    jax.experimental is a submodule of the JAX library that provides access to experimental, unstable, or cutting-edge numerical and machine learning features not yet part of the stable API.
  • B. TensorFlow Probability (JAX backend)
    TensorFlow Probability (JAX backend) is a probabilistic programming and statistical modeling library that runs on JAX, providing tools for Bayesian inference, probabilistic layers, and advanced distributions with XLA-accelerated computation.
  • C. XLA
    XLA (Accelerated Linear Algebra) is a domain-specific compiler for linear algebra that optimizes and accelerates machine learning computations on hardware such as TPUs and GPUs.
  • D. GitHub Copilot
    GitHub Copilot is an AI-powered code completion and pair-programming tool that suggests code and entire functions directly within developers’ editors.
  • E. Jupyter
    Jupyter is an open-source project that provides interactive computing tools, most notably Jupyter Notebooks, for data science, scientific computing, and education across multiple programming languages.
  • F. None of above. chosen

Provenance (2 batches)

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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.