Apollo DN10000
E205075
The Apollo DN10000 was a high-performance Unix-based workstation from Apollo Computer, known for its advanced graphics and engineering capabilities in the late 1980s.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Apollo DN10000 canonical | 2 |
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
computer hardware
ⓘ
workstation ⓘ |
| category |
Unix workstation
ⓘ
engineering workstation ⓘ |
| companyStatusOfManufacturer |
Apollo Computer
ⓘ
surface form:
Apollo Computer was later acquired by Hewlett-Packard
|
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| cpuArchitecture | Motorola 68000 family ⓘ |
| designedFor |
multi-user environments
ⓘ
networked environments ⓘ |
| era | third-generation workstations ⓘ |
| hardwareType | desktop workstation ⓘ |
| intendedUse |
computer-aided design
ⓘ
engineering applications ⓘ graphics-intensive workloads ⓘ |
| manufacturer | Apollo Computer ⓘ |
| marketedAs | high-performance workstation ⓘ |
| notableFeature |
advanced graphics capabilities
ⓘ
networked workstation environment ⓘ |
| operatingSystem |
Domain/OS
ⓘ
Unix-based operating system ⓘ |
| platform |
Apollo Domain
ⓘ
surface form:
Apollo Domain network
|
| releasePeriod | late 1980s ⓘ |
| successorTo | earlier Apollo DN-series workstations ⓘ |
| supports |
graphical user interface
ⓘ
software development tools ⓘ |
| targetMarket |
engineering workgroups
ⓘ
scientific computing ⓘ technical computing ⓘ |
| usedIn | CAD/CAM environments ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Apollo DN10000 Description of subject: The Apollo DN10000 was a high-performance Unix-based workstation from Apollo Computer, known for its advanced graphics and engineering capabilities in the late 1980s.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.