Triple
T25372620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Styx file server |
E632968
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Inferno operating system component |
C50076
|
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: Inferno operating system component Context triple: [Styx file server, instanceOf, Inferno operating system component]
-
A.
Burroughs software system
A Burroughs software system is an integrated suite of programs and operating environments designed for Burroughs mainframe computers, emphasizing stack-based architecture, high-level language support, and robust transaction processing.
-
B.
Illumos distribution
An Illumos distribution is an operating system built on the Illumos kernel and userland, typically providing a complete, open-source, Solaris-derived UNIX environment with its own packaging, tools, and system management utilities.
-
C.
Solaris technology
Solaris technology is an advanced, sun-derived energy and systems framework that harnesses solar radiation through innovative materials, architectures, and control algorithms to power sustainable infrastructure and intelligent devices.
-
D.
R infrastructure component
An R infrastructure component is a foundational element—such as runtime, package system, or tooling—that supports the execution, management, and scalability of R-based data analysis and applications.
-
E.
Gallifreyan computer network
A Gallifreyan computer network is an advanced, multidimensional information system used by Time Lords to instantaneously share, process, and manipulate temporal and spatial data across time and space.
- F. None of above. chosen
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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 21, 2026, 1:38 p.m.