Allegro CL
E561569
Allegro CL is a commercial, high-performance implementation of the Common Lisp programming language widely used for large-scale AI and enterprise applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Allegro CL canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6009893 — 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: Allegro CL Context triple: [Common Lisp, hasImplementation, Allegro CL]
-
A.
CMU Common Lisp
CMU Common Lisp is a high-performance, open-source implementation of the Common Lisp programming language developed at Carnegie Mellon University, notable for its advanced compiler and optimization capabilities.
-
B.
Common Lisp
Common Lisp is a powerful, multi-paradigm dialect of the Lisp programming language standardised in the 1980s, known for its rich macro system, dynamic typing, and suitability for large-scale, extensible software systems.
-
C.
Franz Lisp
Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
-
D.
VisualWorks
VisualWorks is a prominent commercial implementation of the Smalltalk programming language, known for its powerful development environment and cross-platform capabilities.
-
E.
Maclisp
Maclisp is an early and influential dialect of the Lisp programming language developed at MIT, notable for shaping later Lisp systems and language designs.
- 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: Allegro CL Target entity description: Allegro CL is a commercial, high-performance implementation of the Common Lisp programming language widely used for large-scale AI and enterprise applications.
-
A.
CMU Common Lisp
CMU Common Lisp is a high-performance, open-source implementation of the Common Lisp programming language developed at Carnegie Mellon University, notable for its advanced compiler and optimization capabilities.
-
B.
Common Lisp
Common Lisp is a powerful, multi-paradigm dialect of the Lisp programming language standardised in the 1980s, known for its rich macro system, dynamic typing, and suitability for large-scale, extensible software systems.
-
C.
Franz Lisp
Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
-
D.
VisualWorks
VisualWorks is a prominent commercial implementation of the Smalltalk programming language, known for its powerful development environment and cross-platform capabilities.
-
E.
Maclisp
Maclisp is an early and influential dialect of the Lisp programming language developed at MIT, notable for shaping later Lisp systems and language designs.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Common Lisp implementation
ⓘ
commercial software ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| developer | Franz Inc. NERFINISHED ⓘ |
| developerHeadquarters | Oakland, California NERFINISHED ⓘ |
| feature |
Allegro Composer IDE
NERFINISHED
ⓘ
AllegroCache object database integration ⓘ Common Lisp Object System NERFINISHED ⓘ Emacs-based editor integration ⓘ GUI development tools ⓘ Metaobject Protocol NERFINISHED ⓘ SMP support ⓘ Unicode support ⓘ foreign function interface ⓘ garbage collection ⓘ incremental compilation ⓘ integrated debugger ⓘ interactive development environment ⓘ multiprocessing support ⓘ native code compiler ⓘ networking libraries ⓘ profiler ⓘ threads support ⓘ |
| hasComponent |
AllegroCache
NERFINISHED
ⓘ
AllegroServe web server NERFINISHED ⓘ |
| hasEdition |
Allegro CL Enterprise Edition
NERFINISHED
ⓘ
Allegro CL Free Express Edition NERFINISHED ⓘ |
| implements | Common Lisp NERFINISHED ⓘ |
| license | proprietary ⓘ |
| operatingSystem |
Linux
ⓘ
Unix-like systems ⓘ Windows ⓘ macOS ⓘ |
| programmingLanguage | Common Lisp NERFINISHED ⓘ |
| softwareModel | commercial ⓘ |
| supportsParadigm |
functional programming
ⓘ
metaobject protocol–based programming ⓘ object-oriented programming ⓘ |
| supportsStandard | ANSI Common Lisp NERFINISHED ⓘ |
| targetUse |
artificial intelligence applications
ⓘ
enterprise applications ⓘ large-scale applications ⓘ |
| useCase |
expert systems
ⓘ
knowledge-based systems ⓘ natural language processing systems ⓘ rule-based systems ⓘ semantic web applications ⓘ |
| website | https://franz.com/products/allegrocl/ ⓘ |
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: Allegro CL Description of subject: Allegro CL is a commercial, high-performance implementation of the Common Lisp programming language widely used for large-scale AI and enterprise applications.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.