windmc
E299172
windmc is a GNU Binutils utility used to compile Windows message (MC) files into resource and header files for use in Windows applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| windmc canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2792345 — 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: windmc Context triple: [GNU Binutils, contains, windmc]
-
A.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
B.
Wolken
Wolken is a philosophical work by the 18th-century German thinker Johann Georg Hamann, reflecting his characteristically critical and religiously grounded response to Enlightenment rationalism.
-
C.
Williamsen
Williamsen is a surname variant of Williamson, typically arising from regional or linguistic differences in spelling.
-
D.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
E.
White Wolf
White Wolf is the alias given to Bucky Barnes during his time in Wakanda in the Marvel Cinematic Universe, reflecting his rebirth as a rehabilitated warrior and ally.
- 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: windmc Target entity description: windmc is a GNU Binutils utility used to compile Windows message (MC) files into resource and header files for use in Windows applications.
-
A.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
B.
Wolken
Wolken is a philosophical work by the 18th-century German thinker Johann Georg Hamann, reflecting his characteristically critical and religiously grounded response to Enlightenment rationalism.
-
C.
Williamsen
Williamsen is a surname variant of Williamson, typically arising from regional or linguistic differences in spelling.
-
D.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
E.
White Wolf
White Wolf is the alias given to Bucky Barnes during his time in Wakanda in the Marvel Cinematic Universe, reflecting his rebirth as a rehabilitated warrior and ally.
- F. None of above. chosen
Statements (34)
| Predicate | Object |
|---|---|
| instanceOf |
GNU Binutils component
ⓘ
command-line program ⓘ software utility ⓘ |
| category |
localization and messaging tool
ⓘ
software build utility ⓘ |
| designedFor | cross-compilation of Windows applications ⓘ |
| distribution | GNU Binutils package ⓘ |
| implements | Windows Message Compiler functionality ⓘ |
| input | Windows message definition file ⓘ |
| license | GNU General Public License ⓘ |
| maintainer |
GNU Binutils
ⓘ
surface form:
GNU Binutils project
|
| operatingSystem |
GNU/Linux
ⓘ
Unix-like systems ⓘ Windows ⓘ |
| output |
C/C++ header file
ⓘ
Windows resource script ⓘ |
| partOf | GNU Binutils ⓘ |
| producesFileExtension |
.h
ⓘ
.rc ⓘ |
| producesFileType |
C header file
ⓘ
Windows resource script file ⓘ |
| programmingLanguage | C ⓘ |
| runsOn | command-line interface ⓘ |
| similarTo | Microsoft Message Compiler mc.exe ⓘ |
| softwareGenre |
build tool
ⓘ
development tool ⓘ |
| supports |
C and C++ Windows applications
ⓘ
MinGW toolchain ⓘ |
| supportsFileExtension | .mc ⓘ |
| supportsFileFormat | Windows message file ⓘ |
| targetPlatform |
Windows
ⓘ
surface form:
Microsoft Windows
|
| useCase |
compiling Windows message (MC) files
ⓘ
generating header files for Windows applications ⓘ generating resource files for Windows applications ⓘ |
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: windmc Description of subject: windmc is a GNU Binutils utility used to compile Windows message (MC) files into resource and header files for use in Windows applications.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.