Yet Another Next Generation
E38998
Yet Another Next Generation is the full name behind the acronym YANG, a data modeling language widely used to define configuration and state data for network management protocols.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Yet Another Next Generation canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T300489 — 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: Yet Another Next Generation Context triple: [YANG modeling language, fullName, Yet Another Next Generation]
-
A.
Autoport
Autoport is a specialized automotive terminal within the Port of Boston used for handling, storing, and processing imported and exported vehicles.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
Taitō
Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
-
D.
Namba Grand Kagetsu
Namba Grand Kagetsu is a famous comedy theater in Osaka, Japan, known as a central venue for Yoshimoto Kogyo’s manzai and variety performances.
-
E.
The Gamester
The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
- 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: Yet Another Next Generation Target entity description: Yet Another Next Generation is the full name behind the acronym YANG, a data modeling language widely used to define configuration and state data for network management protocols.
-
A.
Autoport
Autoport is a specialized automotive terminal within the Port of Boston used for handling, storing, and processing imported and exported vehicles.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
Taitō
Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
-
D.
Namba Grand Kagetsu
Namba Grand Kagetsu is a famous comedy theater in Osaka, Japan, known as a central venue for Yoshimoto Kogyo’s manzai and variety performances.
-
E.
The Gamester
The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
data modeling language
ⓘ
network configuration language ⓘ |
| abbreviation | YANG ⓘ |
| associatedWith |
NETCONF
ⓘ
RESTCONF ⓘ |
| domain |
computer networking
ⓘ
network management ⓘ |
| fullNameOf |
YANG
ⓘ
linked to:
Yang
|
| hasAcronym | YANG ⓘ |
| hasDesignGoal |
to provide a human-readable data modeling language
ⓘ
to support extensible network configuration models ⓘ |
| hasProperty |
hierarchical data modeling
ⓘ
human-readable syntax ⓘ machine-readable syntax ⓘ |
| relatedTo |
MIB
ⓘ
SNMP ⓘ |
| standardizedBy |
IETF
ⓘ
linked to:
Internet Engineering Task Force
|
| supports |
modeling configuration data
ⓘ
modeling operational state data ⓘ |
| usedBy |
network equipment vendors
ⓘ
network management systems ⓘ network operators ⓘ |
| usedFor |
defining configuration data
ⓘ
defining state data ⓘ network management ⓘ |
| usedIn | network management protocols ⓘ |
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: Yet Another Next Generation Description of subject: Yet Another Next Generation is the full name behind the acronym YANG, a data modeling language widely used to define configuration and state data for network management protocols.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.