Triple

T18301186
Position Surface form Disambiguated ID Type / Status
Subject jax.random E438359 entity
Predicate distributedBy P1951 FINISHED
Object JAX project NE NERFINISHED

How this triple was built (2 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: JAX project | Statement: [jax.random, distributedBy, JAX project]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JAX project
Context triple: [jax.random, distributedBy, JAX project]
  • A. JAX chosen
    JAX is a high-performance numerical computing library for Python that combines NumPy-like APIs with automatic differentiation and just-in-time compilation, widely used for machine learning and scientific computing.
  • B. JAX
    JAX is the three-letter IATA airport code for Jacksonville International Airport, the primary commercial airport serving Jacksonville, Florida.
  • C. The Flex Project
    The Flex Project is the group responsible for maintaining and developing GNU Flex, a widely used open-source lexical analyzer generator.
  • D. RACE project
    The RACE project was a European research initiative focused on advancing telecommunications and information technologies, within which the RIPEMD-160 cryptographic hash function was originally developed.
  • E. Project 211
    Project 211 is a Chinese government initiative launched to strengthen about 100 key universities and colleges in the 21st century by prioritizing them for additional funding and development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.