Triple

T7874732
Position Surface form Disambiguated ID Type / Status
Subject Adam optimizer E182821 entity
Predicate implementedIn P2539 FINISHED
Object JAX E95194 NE FINISHED

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 | Statement: [Adam optimizer, implementedIn, JAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JAX
Context triple: [Adam optimizer, implementedIn, JAX]
  • A. JAX
    JAX is the three-letter IATA airport code for Jacksonville International Airport, the primary commercial airport serving Jacksonville, Florida.
  • B. 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.
  • C. JAXPORT
    JAXPORT is the public seaport authority for Jacksonville, Florida, serving as a major U.S. hub for container, automobile, and bulk cargo shipping.
  • D. Jales
    Jales is a municipality in the northwest region of the state of São Paulo, Brazil, known as a local commercial and agricultural center.
  • E. IJ Bay
    IJ Bay is a body of water in the Netherlands that forms a key waterfront and harbor area for the city of Amsterdam.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a961188190b2f12f8fe5d66641 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b79705c8190955e128081048ebe completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:56 p.m.