DECsystem-20
E810937
DECsystem-20 is a family of 36-bit mainframe computers from Digital Equipment Corporation, widely used in the 1970s and 1980s for time-sharing and running the TOPS-20 operating system.
All labels observed (2)
| Label | Occurrences |
|---|---|
| DECsystem-20 canonical | 5 |
| DECsystem-20 family | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9611750 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DECsystem-20 Context triple: [TOPS-20, runsOn, DECsystem-20]
-
A.
Just A Rather Very Intelligent System
Just A Rather Very Intelligent System is Tony Stark’s advanced artificial intelligence assistant in the Marvel Cinematic Universe, responsible for managing his technology and Iron Man suits.
-
B.
Adept AI
Adept AI is an artificial intelligence research and product company focused on building AI agents that can use existing software tools to perform complex tasks for users.
-
C.
NETL knowledge representation system
The NETL knowledge representation system is an AI framework developed by Scott Fahlman for representing and reasoning about natural language knowledge in a structured, machine-interpretable form.
-
D.
Pegasos II
Pegasos II is a PowerPC-based computer mainboard developed by Genesi that became popular as a hardware platform for alternative operating systems such as AmigaOS and MorphOS.
-
E.
RAG
RAG is the commonly used abbreviation for the Royal Galician Academy, the principal institution dedicated to the study and promotion of the Galician language and culture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DECsystem-20 Target entity description: DECsystem-20 is a family of 36-bit mainframe computers from Digital Equipment Corporation, widely used in the 1970s and 1980s for time-sharing and running the TOPS-20 operating system.
-
A.
Just A Rather Very Intelligent System
Just A Rather Very Intelligent System is Tony Stark’s advanced artificial intelligence assistant in the Marvel Cinematic Universe, responsible for managing his technology and Iron Man suits.
-
B.
Adept AI
Adept AI is an artificial intelligence research and product company focused on building AI agents that can use existing software tools to perform complex tasks for users.
-
C.
NETL knowledge representation system
The NETL knowledge representation system is an AI framework developed by Scott Fahlman for representing and reasoning about natural language knowledge in a structured, machine-interpretable form.
-
D.
Pegasos II
Pegasos II is a PowerPC-based computer mainboard developed by Genesi that became popular as a hardware platform for alternative operating systems such as AmigaOS and MorphOS.
-
E.
RAG
RAG is the commonly used abbreviation for the Royal Galician Academy, the principal institution dedicated to the study and promotion of the Galician language and culture.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf | mainframe computer family ⓘ |
| alsoKnownAs |
DEC-20
ⓘ
DECsystem-20 family ⓘ
linked to:
DECsystem-20
|
| architecture | PDP-10 architecture ⓘ |
| bitWidth | 36-bit ⓘ |
| characterEncoding |
7-bit ASCII
ⓘ
linked to:
ASCII
|
| companyCountry |
United States
ⓘ
linked to:
United States of America
|
| cpuFamily |
KL10
ⓘ
KS10 ⓘ |
| formFactor | cabinet-sized mainframe ⓘ |
| influenced |
later time-sharing systems
ⓘ
networked interactive computing ⓘ |
| instructionSet | PDP-10 instruction set ⓘ |
| introducedInDecade | 1970s ⓘ |
| manufacturer | Digital Equipment Corporation ⓘ |
| market |
academic computing
ⓘ
commercial time-sharing ⓘ research computing ⓘ |
| memoryManagement | paged virtual memory (via TOPS-20) ⓘ |
| networkingSupport | ARPANET connectivity (via TOPS-20) ⓘ |
| notableModel |
DECsystem-2040
ⓘ
DECsystem-2050 ⓘ DECsystem-2060 ⓘ DECsystem-2065 ⓘ
linked to:
DECsystem-10
|
| operatingSystem | TOPS-20 ⓘ |
| osFamily |
TOPS-20 operating system
ⓘ
linked to:
TOPS-20
|
| powerType | minicomputer-style mainframe ⓘ |
| primaryUse | time-sharing ⓘ |
| relatedTo |
DECSYSTEM-10
ⓘ
linked to:
DECsystem-10
|
| runsOn | PDP-10 compatible hardware ⓘ |
| status | discontinued ⓘ |
| successorOf | PDP-10 ⓘ |
| supports |
interactive computing
ⓘ
multi-user time-sharing ⓘ virtual memory ⓘ |
| typicalUsers |
commercial time-sharing providers
ⓘ
research institutions ⓘ universities ⓘ |
| usedFor |
batch and interactive workloads
ⓘ
computer science education ⓘ programming language development ⓘ software development ⓘ |
| usedInDecade |
1970s
ⓘ
1980s ⓘ |
| vendorAbbreviation | DEC ⓘ |
| wordSize | 36 bits ⓘ |
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: DECsystem-20 Description of subject: DECsystem-20 is a family of 36-bit mainframe computers from Digital Equipment Corporation, widely used in the 1970s and 1980s for time-sharing and running the TOPS-20 operating system.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.