Triple

T4275381
Position Surface form Disambiguated ID Type / Status
Subject Bevy E97036 entity
Predicate supportsRenderingAPI P22768 FINISHED
Object OpenGL (via wgpu) E116587 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: OpenGL (via wgpu) | Statement: [Bevy, supportsRenderingAPI, OpenGL (via wgpu)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenGL (via wgpu)
Context triple: [Bevy, supportsRenderingAPI, OpenGL (via wgpu)]
  • A. WebGPU
    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. WebGL
    WebGL is a JavaScript API that enables hardware-accelerated 2D and 3D graphics rendering within web browsers without the need for plugins.
  • C. Vulkan
    Vulkan is a low-overhead, cross-platform 3D graphics and compute API designed to provide high-performance access to modern GPUs.
  • D. OpenGL ES
    OpenGL ES is a cross-platform, royalty-free 2D and 3D graphics API designed for embedded systems such as mobile devices, game consoles, and automotive displays.
  • E. OpenGL chosen
    OpenGL is a cross-language, cross-platform application programming interface (API) for rendering 2D and 3D vector graphics, widely used in games, simulations, and professional visualization.
  • 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_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.
Created at: March 12, 2026, 11:07 p.m.