REXX
E736221
REXX is a high-level, easy-to-read scripting and macro language widely used on IBM mainframe systems for automation, data processing, and system control tasks.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T8483304 — 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.
Target entity: REXX Context triple: [OS/390, supportsProgrammingLanguage, REXX]
-
A.
ARexx
ARexx is a REXX-based scripting language for the AmigaOS platform, commonly used to automate tasks and enable inter-application communication.
-
B.
SNOBOL
SNOBOL is an early high-level programming language from the 1960s known for its powerful pattern-matching and string-processing capabilities.
-
C.
RPL programming language
RPL is a stack-based, reverse Polish Lisp-like programming language developed by Hewlett-Packard for its graphing calculators, combining features of RPN and structured programming.
-
D.
Caché
Caché is a tributary stream that feeds into the Bléone River in southeastern France.
-
E.
PL/I
PL/I is a high-level programming language developed by IBM in the 1960s that combines features from scientific, business, and systems programming languages into a single, general-purpose language.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: REXX Target entity description: REXX is a high-level, easy-to-read scripting and macro language widely used on IBM mainframe systems for automation, data processing, and system control tasks.
-
A.
ARexx
ARexx is a REXX-based scripting language for the AmigaOS platform, commonly used to automate tasks and enable inter-application communication.
-
B.
SNOBOL
SNOBOL is an early high-level programming language from the 1960s known for its powerful pattern-matching and string-processing capabilities.
-
C.
RPL programming language
RPL is a stack-based, reverse Polish Lisp-like programming language developed by Hewlett-Packard for its graphing calculators, combining features of RPN and structured programming.
-
D.
Caché
Caché is a tributary stream that feeds into the Bléone River in southeastern France.
-
E.
PL/I
PL/I is a high-level programming language developed by IBM in the 1960s that combines features from scientific, business, and systems programming languages into a single, general-purpose language.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
macro language
ⓘ
programming language ⓘ scripting language ⓘ |
| canBeEmbeddedIn |
CICS
NERFINISHED
ⓘ
ISPF NERFINISHED ⓘ various IBM tools and products ⓘ |
| creator | Mike Cowlishaw NERFINISHED ⓘ |
| designedFor |
IBM mainframe systems
ⓘ
automation ⓘ data processing ⓘ system control tasks ⓘ |
| developer | IBM ⓘ |
| executionModel | interpreted language ⓘ |
| fileExtension |
.rex
ⓘ
.rexx ⓘ |
| firstAppeared | 1979 ⓘ |
| hasImplementation |
CMS REXX
ⓘ
NetRexx NERFINISHED ⓘ Object REXX NERFINISHED ⓘ Open Object REXX NERFINISHED ⓘ REXX/370 NERFINISHED ⓘ Regina REXX NERFINISHED ⓘ TSO/E REXX NERFINISHED ⓘ |
| hasStandard | ANSI X3.274-1996 NERFINISHED ⓘ |
| inception | 1979 ⓘ |
| influenced |
NetRexx
NERFINISHED
ⓘ
Object REXX NERFINISHED ⓘ |
| notableFeature |
automatic storage management
ⓘ
built-in parsing facilities ⓘ easy-to-read syntax ⓘ extensive error handling ⓘ free-form syntax ⓘ string-oriented processing ⓘ |
| paradigm |
imperative programming
ⓘ
procedural programming ⓘ |
| primaryDomain |
application macro language
ⓘ
job control ⓘ system scripting ⓘ |
| standardizedBy | ANSI NERFINISHED ⓘ |
| supports |
command environment integration
ⓘ
functions ⓘ signal handling ⓘ structured programming ⓘ subroutines ⓘ |
| typingDiscipline | dynamic typing ⓘ |
| usedOn |
AmigaOS
NERFINISHED
ⓘ
IBM MVS NERFINISHED ⓘ IBM OS/2 NERFINISHED ⓘ IBM TSO/E NERFINISHED ⓘ IBM VM/CMS NERFINISHED ⓘ z/OS NERFINISHED ⓘ |
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.
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.
Subject: REXX Description of subject: REXX is a high-level, easy-to-read scripting and macro language widely used on IBM mainframe systems for automation, data processing, and system control tasks.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.