Stack
E437228
Stack is a cross-platform build tool and package manager for Haskell that simplifies project setup, dependency management, and reproducible builds.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Stack canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4424980 — 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: Stack Context triple: [Haskell, hasPackageManager, Stack]
-
A.
Stack Rocks
Stack Rocks is a dramatic coastal rock formation and popular seabird nesting site located along the rugged cliffs of the Pembrokeshire coast in Wales.
-
B.
re: Stacks
"re: Stacks" is a haunting, atmospheric track by Bon Iver known for its sparse instrumentation and emotionally raw lyrics.
-
C.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
D.
STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
-
E.
Blocks
Blocks is a Python deep learning framework built on top of Theano that provides modular, reusable components for constructing and training neural networks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Stack Target entity description: Stack is a cross-platform build tool and package manager for Haskell that simplifies project setup, dependency management, and reproducible builds.
-
A.
Stack Rocks
Stack Rocks is a dramatic coastal rock formation and popular seabird nesting site located along the rugged cliffs of the Pembrokeshire coast in Wales.
-
B.
re: Stacks
"re: Stacks" is a haunting, atmospheric track by Bon Iver known for its sparse instrumentation and emotionally raw lyrics.
-
C.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
D.
STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
-
E.
Blocks
Blocks is a Python deep learning framework built on top of Theano that provides modular, reusable components for constructing and training neural networks.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
free and open-source software
ⓘ
package manager ⓘ software build tool ⓘ |
| command |
stack bench
ⓘ
stack build ⓘ stack clean ⓘ stack exec ⓘ stack ghci ⓘ stack haddock ⓘ stack new ⓘ stack run ⓘ stack setup ⓘ stack test ⓘ |
| competesWith | Cabal (Haskell build tool) NERFINISHED ⓘ |
| configurationFile |
package.yaml
ⓘ
stack.yaml ⓘ |
| developerCommunity | Commercial Haskell group and contributors ⓘ |
| feature |
Docker integration
ⓘ
Haddock documentation generation ⓘ Nix integration ⓘ automatic GHC installation ⓘ benchmark running ⓘ integration with Hackage via Stackage snapshots ⓘ isolated project environments ⓘ local and remote package sources ⓘ per-project GHC versions ⓘ project templates ⓘ reproducible builds via curated snapshots ⓘ script interpreter mode ⓘ snapshot-based dependency management ⓘ test running ⓘ |
| goal |
make dependency management predictable
ⓘ
provide reproducible builds ⓘ simplify Haskell project setup ⓘ |
| license | BSD-style license ⓘ |
| operatingSystem |
Linux
ⓘ
Windows ⓘ macOS ⓘ |
| primaryUse |
building Haskell projects
ⓘ
ensuring reproducible Haskell builds ⓘ managing Haskell package dependencies ⓘ |
| programmingLanguage | Haskell NERFINISHED ⓘ |
| readsFormat | .cabal file ⓘ |
| repository | https://github.com/commercialhaskell/stack ⓘ |
| supports |
continuous integration workflows
ⓘ
custom Stackage snapshots ⓘ local package databases ⓘ multi-package projects ⓘ |
| supportsPlatform |
ARM (via GHC where available)
ⓘ
x86_64 ⓘ |
| uses | Stackage 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: Stack Description of subject: Stack is a cross-platform build tool and package manager for Haskell that simplifies project setup, dependency management, and reproducible builds.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.