Triple

T4651139
Position Surface form Disambiguated ID Type / Status
Subject Transformer E102296 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: [Transformer, implementedIn, JAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JAX
Context triple: [Transformer, 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd630343f88190954d19fcd18a5864 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae7636881908244b86cba1c66b7 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.