Triple
T26378858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hexagon NN library |
E660969
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | AI inference runtime |
C28944
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: AI inference runtime Context triple: [Hexagon NN library, instanceOf, AI inference runtime]
-
A.
AI inference server
An AI inference server is a system that hosts trained machine learning models and processes incoming requests to generate predictions or responses in real time.
-
B.
inference runtime library
chosen
An inference runtime library is a software component that efficiently executes trained machine learning models on target hardware, managing model loading, optimization, and prediction workflows.
-
C.
AI research tool
An AI research tool is a software system that leverages artificial intelligence techniques to assist in discovering, organizing, analyzing, and generating scientific knowledge and insights.
-
D.
artificial intelligence framework
An artificial intelligence framework is a structured software environment that provides tools, libraries, and interfaces to design, train, deploy, and manage AI and machine learning models efficiently.
-
E.
ML infrastructure validation tool
A ML infrastructure validation tool automatically tests, verifies, and monitors the correctness, performance, and reliability of machine learning pipelines and their underlying systems before and during production deployment.
- F. None of above.
Provenance (1 batch)
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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 26, 2026, 11:03 p.m.