CNM
E1028103
CNM (Congestion Notification Message) is a control message used in IEEE 802.1Qau to signal and manage network congestion in Ethernet-based data center networks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CNM canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13229272 — 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: CNM Context triple: [IEEE 802.1Qau, abbreviationOfMessageType, CNM]
-
A.
CNM
CNM is the National Rail station code for Cheltenham Spa railway station in Gloucestershire, England.
-
B.
CNM
CNM is a public community college in Albuquerque, New Mexico, offering a wide range of associate degrees, certificates, and workforce training programs.
-
C.
CNM
CNM is the IATA airport code for Cavern City Air Terminal, a public airport serving Carlsbad, New Mexico, near Carlsbad Caverns National Park.
-
D.
NMMNHS
NMMNHS is a museum in Albuquerque dedicated to preserving and interpreting New Mexico’s natural history and scientific heritage through exhibits, research, and educational programs.
-
E.
NMH
NMH is the commonly used abbreviation for the Norwegian Academy of Music, a leading institution for higher music education and research in Norway.
- 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: CNM Target entity description: CNM (Congestion Notification Message) is a control message used in IEEE 802.1Qau to signal and manage network congestion in Ethernet-based data center networks.
-
A.
CNM
CNM is the National Rail station code for Cheltenham Spa railway station in Gloucestershire, England.
-
B.
CNM
CNM is a public community college in Albuquerque, New Mexico, offering a wide range of associate degrees, certificates, and workforce training programs.
-
C.
CNM
CNM is the IATA airport code for Cavern City Air Terminal, a public airport serving Carlsbad, New Mexico, near Carlsbad Caverns National Park.
-
D.
NMMNHS
NMMNHS is a museum in Albuquerque dedicated to preserving and interpreting New Mexico’s natural history and scientific heritage through exhibits, research, and educational programs.
-
E.
NMH
NMH is the commonly used abbreviation for the Norwegian Academy of Music, a leading institution for higher music education and research in Norway.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
congestion notification message
ⓘ
control message ⓘ |
| abbreviationOf | Congestion Notification Message ⓘ |
| associatedWith |
Quantized Congestion Notification (QCN)
ⓘ
linked to:
Quantized Congestion Notification
|
| belongsTo | Ethernet flow control mechanisms ⓘ |
| carries |
congestion severity information
ⓘ
feedback for rate adjustment ⓘ flow identification information ⓘ |
| category | network control message ⓘ |
| definedIn |
IEEE 802.1Qau standard
ⓘ
linked to:
IEEE 802.1Qau
|
| direction | from congested switch to traffic source ⓘ |
| fullName | Congestion Notification Message ⓘ |
| layer | Data Link Layer ⓘ |
| operatesOver | Ethernet ⓘ |
| partOf | Quantized Congestion Notification ⓘ |
| protocolFamily |
IEEE 802.1Q
ⓘ
linked to:
IEEE 802.1Q series
|
| purpose |
to provide end-to-end congestion control in Ethernet
ⓘ
to reduce packet loss due to congestion ⓘ |
| scope |
data center bridging
ⓘ
lossless Ethernet operation ⓘ |
| sentBy | congestion point ⓘ |
| sentTo | reaction point ⓘ |
| standardizedBy | IEEE ⓘ |
| transports | congestion feedback information ⓘ |
| triggeredBy | detection of congestion ⓘ |
| usedFor |
managing network congestion
ⓘ
signaling network congestion ⓘ |
| usedIn |
Ethernet-based data center networks
ⓘ
IEEE 802.1Qau ⓘ |
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: CNM Description of subject: CNM (Congestion Notification Message) is a control message used in IEEE 802.1Qau to signal and manage network congestion in Ethernet-based data center networks.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.