Information Processing Language
E874573
AI programming language
high-level programming language
list processing language
programming language
Information Processing Language (IPL) is an early high-level programming language developed in the 1950s for artificial intelligence research, particularly for implementing symbolic reasoning programs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Information Processing Language canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T10602391 — 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: Information Processing Language Context triple: [Logic Theorist, programmingLanguage, Information Processing Language]
-
A.
ABC programming language
ABC is an early high-level, interactive programming language developed at CWI that emphasized readability and simplicity, and later influenced the design of Python.
-
B.
Algorithmic Language
Algorithmic Language (ALGOL) is a pioneering family of high-level programming languages that heavily influenced the design of many later languages and the development of structured programming.
-
C.
PL/M programming language
PL/M is a high-level systems programming language created in the early 1970s for Intel microprocessors, widely used for low-level and embedded software development.
-
D.
Lisp programming language
Lisp is a pioneering high-level programming language, especially influential in artificial intelligence research and known for its symbolic processing and distinctive parenthesized syntax.
-
E.
ALGOL 60
ALGOL 60 is an early high-level programming language that pioneered block structure and lexical scoping, profoundly influencing the design of many later languages.
- 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: Information Processing Language Target entity description: Information Processing Language (IPL) is an early high-level programming language developed in the 1950s for artificial intelligence research, particularly for implementing symbolic reasoning programs.
-
A.
ABC programming language
ABC is an early high-level, interactive programming language developed at CWI that emphasized readability and simplicity, and later influenced the design of Python.
-
B.
Algorithmic Language
Algorithmic Language (ALGOL) is a pioneering family of high-level programming languages that heavily influenced the design of many later languages and the development of structured programming.
-
C.
PL/M programming language
PL/M is a high-level systems programming language created in the early 1970s for Intel microprocessors, widely used for low-level and embedded software development.
-
D.
Lisp programming language
Lisp is a pioneering high-level programming language, especially influential in artificial intelligence research and known for its symbolic processing and distinctive parenthesized syntax.
-
E.
ALGOL 60
ALGOL 60 is an early high-level programming language that pioneered block structure and lexical scoping, profoundly influencing the design of many later languages.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
AI programming language
ⓘ
high-level programming language ⓘ list processing language ⓘ programming language ⓘ |
| abbreviation | IPL NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| creator |
Allen Newell
NERFINISHED
ⓘ
Herbert A. Simon NERFINISHED ⓘ J. C. Shaw NERFINISHED ⓘ |
| dataStructure |
list
ⓘ
symbol ⓘ |
| designedFor |
game playing programs
ⓘ
heuristic search ⓘ theorem proving ⓘ |
| developedAt |
Carnegie Institute of Technology
NERFINISHED
ⓘ
RAND Corporation NERFINISHED ⓘ |
| developedFor |
artificial intelligence research
ⓘ
problem-solving programs ⓘ symbolic reasoning programs ⓘ |
| developedInDecade | 1950s ⓘ |
| documentation |
publications by Newell and Simon
ⓘ
technical reports at RAND ⓘ |
| executionModel | interpreted ⓘ |
| field |
artificial intelligence
ⓘ
computer science NERFINISHED ⓘ |
| firstAppeared | 1956 ⓘ |
| historicalSignificance |
early example of list processing
ⓘ
one of the first languages for AI ⓘ |
| influenced |
AI programming techniques
ⓘ
Lisp NERFINISHED ⓘ |
| notableVersion |
IPL-I
NERFINISHED
ⓘ
IPL-II NERFINISHED ⓘ IPL-III NERFINISHED ⓘ IPL-IV NERFINISHED ⓘ |
| paradigm | symbolic programming ⓘ |
| relatedTo |
cognitive simulation
ⓘ
symbolic AI ⓘ |
| status |
historical
ⓘ
no longer widely used ⓘ |
| supportsFeature |
association lists
ⓘ
list processing ⓘ recursive procedures ⓘ stack-based memory management ⓘ |
| usedFor |
General Problem Solver
NERFINISHED
ⓘ
Logic Theorist 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.
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: Information Processing Language Description of subject: Information Processing Language (IPL) is an early high-level programming language developed in the 1950s for artificial intelligence research, particularly for implementing symbolic reasoning programs.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Logic Theorist
subject surface form:
Logic Theorist