Moscow ML
E807597
Moscow ML is a lightweight, educationally oriented implementation of the Standard ML programming language, known for its simplicity and support for formal methods and teaching.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Moscow ML canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T9566691 — 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: Moscow ML Context triple: [Standard ML, hasImplementation, Moscow ML]
-
A.
Moscufo
Moscufo is a small Italian town and comune in the Abruzzo region, noted for its historic architecture and rural setting.
-
B.
Moskovici
Moskovici is a variant spelling of the surname Moskovitz, which is of Eastern European Jewish origin.
-
C.
Khimki
Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
-
D.
BC Dynamo Moscow
BC Dynamo Moscow is a professional basketball club from Moscow, Russia, historically associated with the Dynamo sports society and known for competing in national and European competitions.
-
E.
MPL
MPL is the IATA airport code for Montpellier-Méditerranée Airport, serving the city of Montpellier in southern France.
- 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: Moscow ML Target entity description: Moscow ML is a lightweight, educationally oriented implementation of the Standard ML programming language, known for its simplicity and support for formal methods and teaching.
-
A.
Moscufo
Moscufo is a small Italian town and comune in the Abruzzo region, noted for its historic architecture and rural setting.
-
B.
Moskovici
Moskovici is a variant spelling of the surname Moskovitz, which is of Eastern European Jewish origin.
-
C.
Khimki
Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
-
D.
BC Dynamo Moscow
BC Dynamo Moscow is a professional basketball club from Moscow, Russia, historically associated with the Dynamo sports society and known for competing in national and European competitions.
-
E.
MPL
MPL (Mozilla Public License) is a free and open-source software license created by Mozilla that allows code to be shared and modified while requiring that changes to MPL-covered files remain publicly available.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
ML-family programming language implementation
ⓘ
Standard ML implementation ⓘ |
| designGoal |
educational use
ⓘ
lightweight implementation ⓘ support for formal methods education ⓘ support for teaching programming languages ⓘ |
| hasComponent |
compiler
ⓘ
interactive interpreter ⓘ runtime system ⓘ standard library (subset of SML Basis) ⓘ |
| implementationStyle |
bytecode compiler
ⓘ
interactive toplevel (REPL) ⓘ |
| influencedBy | Standard ML language definition ⓘ |
| knownFor |
fast compilation
ⓘ
good support for teaching ⓘ simplicity ⓘ small implementation ⓘ |
| license | open-source license ⓘ |
| operatingSystem |
Linux
ⓘ
Unix-like systems ⓘ Windows ⓘ macOS (via Unix ports) ⓘ |
| paradigm |
functional programming
ⓘ
imperative programming (via references and arrays) ⓘ |
| programmingLanguage | Standard ML NERFINISHED ⓘ |
| supportsFeature |
exceptions
ⓘ
foreign function interface (C FFI) ⓘ functors ⓘ garbage collection ⓘ higher-order functions ⓘ interactive top-level loop ⓘ modules ⓘ pattern matching ⓘ polymorphism ⓘ separate compilation ⓘ |
| supportsLanguageStandard |
Standard ML (SML) core language
NERFINISHED
ⓘ
Standard ML Basis Library (subset) NERFINISHED ⓘ Standard ML Modules NERFINISHED ⓘ |
| targetAudience |
researchers in programming languages
ⓘ
students ⓘ teachers ⓘ |
| typeSystem |
Hindley–Milner type inference
NERFINISHED
ⓘ
static typing ⓘ |
| useCase |
formal methods education
ⓘ
small-scale research prototypes ⓘ teaching Standard ML ⓘ teaching programming language concepts ⓘ teaching type 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: Moscow ML Description of subject: Moscow ML is a lightweight, educationally oriented implementation of the Standard ML programming language, known for its simplicity and support for formal methods and teaching.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.