ELPI
E588092
ELPI is an implementation of the λProlog logic programming language, designed for higher-order abstract syntax and interactive theorem proving applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ELPI canonical | 1 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
logic programming language implementation
ⓘ
software project ⓘ λProlog implementation ⓘ |
| hasFeature |
I/O primitives
ⓘ
backtracking search ⓘ extensible built-in constraints ⓘ foreign function interface ⓘ higher-order unification style mechanisms ⓘ unification ⓘ |
| hasProperty |
goal-directed proof search
ⓘ
higher-order ⓘ meta-logical reasoning capabilities ⓘ suited for encoding inference rules ⓘ suited for encoding operational semantics ⓘ suited for encoding typing rules ⓘ supports binding via higher-order abstract syntax ⓘ |
| isDesignedFor |
higher-order abstract syntax
ⓘ
interactive theorem proving ⓘ meta-programming ⓘ |
| isRelatedTo |
Abella
NERFINISHED
ⓘ
Bedwyr NERFINISHED ⓘ Coq NERFINISHED ⓘ Lean ⓘ Twelf NERFINISHED ⓘ λProlog NERFINISHED ⓘ |
| isUsedFor |
encoding deductive systems
ⓘ
formalization of programming languages ⓘ implementing proof assistants ⓘ implementing type checkers ⓘ meta-theory mechanization ⓘ program verification tools ⓘ proof search ⓘ |
| paradigm | logic programming ⓘ |
| supports |
constraint programming features
ⓘ
higher-order abstract syntax encodings ⓘ higher-order logic programming ⓘ λProlog NERFINISHED ⓘ |
| targetDomain |
formal methods
ⓘ
interactive theorem proving ⓘ programming language theory ⓘ proof engineering ⓘ |
| typicalApplication |
encoding and testing formal systems
ⓘ
prototype proof assistant development ⓘ rapid experimentation with logics ⓘ |
| typicalInput |
inference rules
ⓘ
logic programs ⓘ specifications of deductive systems ⓘ |
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: ELPI Description of subject: ELPI is an implementation of the λProlog logic programming language, designed for higher-order abstract syntax and interactive theorem proving applications.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.