Triple
T4275380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bevy |
E97036
|
entity |
| Predicate | supportsRenderingAPI |
P22768
|
FINISHED |
| Object | Metal (via wgpu) |
E49844
|
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: Metal (via wgpu) | Statement: [Bevy, supportsRenderingAPI, Metal (via wgpu)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metal (via wgpu) Context triple: [Bevy, supportsRenderingAPI, Metal (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.
Vulkan
Vulkan is a low-overhead, cross-platform 3D graphics and compute API designed to provide high-performance access to modern GPUs.
-
C.
Metal graphics API
chosen
Metal graphics API is Apple’s low-level, high-performance framework for 3D graphics and GPU-accelerated computing on its devices.
-
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.
Metal Shading Language
Metal Shading Language is Apple’s C++-like GPU programming language used to write high-performance graphics and compute shaders for the Metal framework on iOS, macOS, and related platforms.
- 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.