etherStatsJabbers
E823483
etherStatsJabbers is an SNMP MIB counter that tracks the number of oversized or malformed Ethernet frames, often indicative of network errors or collisions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| etherStatsJabbers canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9818149 — 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: etherStatsJabbers Context triple: [RFC 1655, definesMetric, etherStatsJabbers]
-
A.
BlueJeans
BlueJeans is a cloud-based video conferencing and collaboration platform used for virtual meetings, webinars, and remote communication.
-
B.
STUN
STUN (Session Traversal Utilities for NAT) is a network protocol that helps devices discover their public IP address and port as seen by external servers, enabling communication across NAT and firewalls.
-
C.
Jitsi
Jitsi is an open-source, cross-platform suite of real-time voice, video, and chat communication tools focused on secure, encrypted conferencing.
-
D.
RTC network
The RTC network is the public transportation system serving Quebec City, operating buses and related transit services across the metropolitan area.
-
E.
STUN protocol
The STUN protocol (Session Traversal Utilities for NAT) is a network protocol that helps devices discover their public IP address and port and determine the type of NAT or firewall they are behind to enable peer-to-peer connectivity.
- 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: etherStatsJabbers Target entity description: etherStatsJabbers is an SNMP MIB counter that tracks the number of oversized or malformed Ethernet frames, often indicative of network errors or collisions.
-
A.
BlueJeans
BlueJeans is a cloud-based video conferencing and collaboration platform used for virtual meetings, webinars, and remote communication.
-
B.
STUN
STUN (Session Traversal Utilities for NAT) is a network protocol that helps devices discover their public IP address and port as seen by external servers, enabling communication across NAT and firewalls.
-
C.
Jitsi
Jitsi is an open-source, cross-platform suite of real-time voice, video, and chat communication tools focused on secure, encrypted conferencing.
-
D.
RTC network
The RTC network is the public transportation system serving Quebec City, operating buses and related transit services across the metropolitan area.
-
E.
STUN protocol
The STUN protocol (Session Traversal Utilities for NAT) is a network protocol that helps devices discover their public IP address and port and determine the type of NAT or firewall they are behind to enable peer-to-peer connectivity.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
RMON MIB counter
ⓘ
SNMP MIB object ⓘ |
| appliesTo | Ethernet interfaces ⓘ |
| category | error statistics ⓘ |
| definedIn | Remote Network Monitoring (RMON) MIB ⓘ |
| helpsWith |
detecting abnormal frame sizes
ⓘ
troubleshooting Ethernet layer problems ⓘ |
| indicates |
faulty network interface behavior
ⓘ
network errors ⓘ possible collisions ⓘ |
| layer | data link layer ⓘ |
| monitors |
Ethernet jabber frames
ⓘ
malformed Ethernet frames ⓘ oversized Ethernet frames ⓘ |
| protocolFamily | Ethernet ⓘ |
| relatedTo |
etherStatsCRCAlignErrors
ⓘ
etherStatsCollisions ⓘ etherStatsDropEvents ⓘ |
| semantics | cumulative count since last reset ⓘ |
| usedBy | network administrators ⓘ |
| usedFor |
identifying misconfigured or failing hardware
ⓘ
monitoring link quality ⓘ |
| usedWith |
SNMP network monitoring tools
ⓘ
Simple Network Management Protocol ⓘ
linked to:
SNMP
|
| valueType | counter ⓘ |
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: etherStatsJabbers Description of subject: etherStatsJabbers is an SNMP MIB counter that tracks the number of oversized or malformed Ethernet frames, often indicative of network errors or collisions.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.