Triple

T4277366
Position Surface form Disambiguated ID Type / Status
Subject TPU E97074 entity
Predicate supportsFramework P9089 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: [TPU, supportsFramework, JAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JAX
Context triple: [TPU, supportsFramework, 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501ef1388190b0c968b069014a59 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7237b608190ab5aca56027344c4 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:07 p.m.