Triple

T4275377
Position Surface form Disambiguated ID Type / Status
Subject Bevy E97036 entity
Predicate renderingBackend P22768 FINISHED
Object wgpu E357641 NE FINISHED

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: wgpu | Statement: [Bevy, renderingBackend, wgpu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: wgpu
Context triple: [Bevy, renderingBackend, wgpu]
  • A. WebGPU chosen
    WebGPU is a modern web graphics and compute API designed to provide high-performance, low-level access to GPU capabilities in browsers, succeeding and improving upon WebGL.
  • B. Vulkan
    Vulkan is a low-overhead, cross-platform 3D graphics and compute API designed to provide high-performance access to modern GPUs.
  • C. WOGL
    WOGL is a Philadelphia-based FM radio station known for its classic hits format and long-standing presence in the local broadcast market.
  • D. WebGL
    WebGL is a JavaScript API that enables hardware-accelerated 2D and 3D graphics rendering within web browsers without the need for plugins.
  • E. WGL
    WGL is the common abbreviation for the Leibniz Association, a major German network of non-university research institutes spanning a wide range of scientific disciplines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: renderingBackend
Context triple: [Bevy, renderingBackend, wgpu]
  • A. graphicsAPI chosen
    Indicates a relationship where one entity uses, supports, or is implemented with a particular graphics application programming interface (graphicsAPI).
  • B. renderedBy
    Indicates that something is produced, drawn, or visually generated by a particular agent, tool, or process.
  • C. renderingArchitecture
    Indicates the specific rendering system or framework used to generate visual output for a given entity or environment.
  • D. renderedUnder
    Indicates that one entity was produced, displayed, or executed within the authority, context, or environment provided by another entity.
  • E. graphicsAdapter
    Indicates a relationship where a device or system is associated with, uses, or is equipped with a particular graphics adapter (graphics processing hardware).
  • F. None of above.

Provenance (4 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_69b3501c35688190a7d15d904f15f968 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b0b2ec819090ccf042917ae207 completed March 14, 2026, 7:32 p.m.
PD Predicate disambiguation batch_69b347faa45481908c19c29fb906dc92 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.