Triple
T4269740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immortalis-G715s MC10 |
E96911
|
entity |
| Predicate | supportsAPI |
P203
|
FINISHED |
| Object | Vulkan |
E163107
|
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: Vulkan | Statement: [Immortalis-G715s MC10, supportsAPI, Vulkan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vulkan Context triple: [Immortalis-G715s MC10, supportsAPI, Vulkan]
-
A.
Vulkan
chosen
Vulkan is a low-overhead, cross-platform 3D graphics and compute API designed to provide high-performance access to modern GPUs.
-
B.
NVIDIA OptiX
NVIDIA OptiX is a GPU-accelerated, programmable ray tracing engine and API from NVIDIA used to build high-performance, photorealistic rendering and simulation applications.
-
C.
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.
-
D.
Metal graphics API
Metal graphics API is Apple’s low-level, high-performance framework for 3D graphics and GPU-accelerated computing on its devices.
-
E.
Khronos Group
Khronos Group is an open industry consortium that develops royalty-free open standards for graphics, compute, and media APIs across multiple platforms and devices.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffa30c08190913622ffec47d33d |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7a456108190afa46344a5ed2118 |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:07 p.m.