itertools
E431922
itertools is a Python standard library module that provides fast, memory-efficient tools for creating and working with iterators, especially for combinatoric and functional-style operations.
All labels observed (2)
| Label | Occurrences |
|---|---|
| itertools canonical | 2 |
| Python itertools module | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4325189 — 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: itertools Context triple: [Python standard library, includesModule, itertools]
-
A.
Pascal's triangle
Pascal's triangle is a triangular array of numbers in which each entry is the sum of the two directly above it, widely used in combinatorics, algebra, and probability.
-
B.
de Bruijn sequence
A de Bruijn sequence is a cyclic sequence over a given alphabet in which every possible subsequence of a fixed length appears exactly once.
-
C.
The Twelvefold Way
The Twelvefold Way is a framework in combinatorics that systematically classifies twelve fundamental ways of counting functions between finite sets under various labeling and structural constraints.
-
D.
TIMTOWTDI
TIMTOWTDI is a Perl programming philosophy acronym meaning “There Is More Than One Way To Do It,” emphasizing flexibility and multiple valid approaches to solving problems.
-
E.
plpython2u
plpython2u is an untrusted PostgreSQL procedural language extension that allows writing database functions in Python 2.
- 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: itertools Target entity description: itertools is a Python standard library module that provides fast, memory-efficient tools for creating and working with iterators, especially for combinatoric and functional-style operations.
-
A.
Pascal's triangle
Pascal's triangle is a triangular array of numbers in which each entry is the sum of the two directly above it, widely used in combinatorics, algebra, and probability.
-
B.
de Bruijn sequence
A de Bruijn sequence is a cyclic sequence over a given alphabet in which every possible subsequence of a fixed length appears exactly once.
-
C.
The Twelvefold Way
The Twelvefold Way is a framework in combinatorics that systematically classifies twelve fundamental ways of counting functions between finite sets under various labeling and structural constraints.
-
D.
TIMTOWTDI
TIMTOWTDI is a Perl programming philosophy acronym meaning “There Is More Than One Way To Do It,” emphasizing flexibility and multiple valid approaches to solving problems.
-
E.
plpython2u
plpython2u is an untrusted PostgreSQL procedural language extension that allows writing database functions in Python 2.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf | Python standard library module ⓘ |
| author | Raymond Hettinger ⓘ |
| availableIn |
CPython
ⓘ
linked to:
Python reference implementation (CPython)
PyPy ⓘ other Python implementations supporting the standard library ⓘ |
| category |
combinatorics utilities
ⓘ
iterator utilities ⓘ |
| designedFor |
fast iteration
ⓘ
memory-efficient iteration ⓘ |
| documentationSection |
Python Library Reference
ⓘ
linked to:
Python official documentation
|
| focusesOn |
combinatoric operations
ⓘ
functional-style operations ⓘ iterator building blocks ⓘ |
| importSyntax | import itertools ⓘ |
| introducedIn | Python 2.3 ⓘ |
| license | Python Software Foundation License ⓘ |
| maintainedBy | Python core developers ⓘ |
| moduleName | itertools ⓘ |
| partOf | Python standard library ⓘ |
| programmingLanguage | Python ⓘ |
| providesFunction |
accumulate
ⓘ
batched ⓘ chain ⓘ combinations ⓘ combinations_with_replacement ⓘ compress ⓘ count ⓘ cycle ⓘ dropwhile ⓘ filterfalse ⓘ groupby ⓘ islice ⓘ pairwise ⓘ permutations ⓘ product ⓘ repeat ⓘ starmap ⓘ takewhile ⓘ tee ⓘ zip_longest ⓘ |
| runtimeBehavior | creates iterators instead of materializing lists ⓘ |
| stable | true ⓘ |
| supportsParadigm |
functional programming
ⓘ
lazy evaluation ⓘ |
| threadSafe | depends on underlying iterators ⓘ |
| typicalUseCase |
combinatorial generation
ⓘ
data streaming ⓘ efficient looping ⓘ |
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: itertools Description of subject: itertools is a Python standard library module that provides fast, memory-efficient tools for creating and working with iterators, especially for combinatoric and functional-style operations.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: itertools