DCAE (Data Collection, Analytics and Events)
E904634
DCAE (Data Collection, Analytics and Events) is an ONAP platform component that provides scalable data collection, real-time analytics, and event processing to enable closed-loop automation and intelligent network management.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DCAE (Data Collection, Analytics and Events) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11100375 — 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: DCAE (Data Collection, Analytics and Events) Context triple: [ONAP, component, DCAE (Data Collection, Analytics and Events)]
-
A.
DCA
DCA (Defense Communications Agency) was a U.S. Department of Defense organization responsible for managing and overseeing military communications networks, including early internet precursor systems.
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B.
DCA
DCA is the three-letter IATA airport code for Ronald Reagan Washington National Airport, the primary domestic airport serving Washington, D.C.
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C.
Google Analytics 4
Google Analytics 4 is Google’s latest-generation web and app analytics platform that tracks user behavior across devices and channels to provide privacy-focused, event-based insights for marketers and businesses.
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D.
GDAE
GDAE (the Global Development and Environment Institute at Tufts University) is a research center focused on interdisciplinary studies of economics, environment, and social justice.
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E.
Adobe Dynamic Tag Management
Adobe Dynamic Tag Management is a tag management system that helps marketers deploy and manage analytics, advertising, and other third-party tags across websites without heavy reliance on IT.
- 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: DCAE (Data Collection, Analytics and Events) Target entity description: DCAE (Data Collection, Analytics and Events) is an ONAP platform component that provides scalable data collection, real-time analytics, and event processing to enable closed-loop automation and intelligent network management.
-
A.
DCA
DCA is the three-letter IATA airport code for Ronald Reagan Washington National Airport, the primary domestic airport serving Washington, D.C.
-
B.
DCA
DCA (Defense Communications Agency) was a U.S. Department of Defense organization responsible for managing and overseeing military communications networks, including early internet precursor systems.
-
C.
Google Analytics 4
Google Analytics 4 is Google’s latest-generation web and app analytics platform that tracks user behavior across devices and channels to provide privacy-focused, event-based insights for marketers and businesses.
-
D.
GDAE
GDAE (the Global Development and Environment Institute at Tufts University) is a research center focused on interdisciplinary studies of economics, environment, and social justice.
-
E.
Adobe Dynamic Tag Management
Adobe Dynamic Tag Management is a tag management system that helps marketers deploy and manage analytics, advertising, and other third-party tags across websites without heavy reliance on IT.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
ONAP component
ⓘ
software platform component ⓘ |
| architectureStyle | microservices-based architecture ⓘ |
| collects |
events
ⓘ
logs ⓘ metrics ⓘ telemetry data ⓘ |
| configuredBy | ONAP design-time tools ⓘ |
| designedFor | scalable data collection ⓘ |
| domain |
network management
ⓘ
telecommunications ⓘ |
| fullName | Data Collection, Analytics and Events NERFINISHED ⓘ |
| goal |
enable closed-loop control
ⓘ
improve network reliability ⓘ optimize network performance ⓘ |
| integratesWith |
ONAP A&AI
NERFINISHED
ⓘ
ONAP Policy Framework NERFINISHED ⓘ ONAP SDN-C NERFINISHED ⓘ ONAP Service Orchestrator NERFINISHED ⓘ |
| lifecycleManagedBy | ONAP operations environment ⓘ |
| monitors |
infrastructure resources
ⓘ
network services ⓘ physical network functions ⓘ virtual network functions ⓘ |
| output |
alerts
ⓘ
analytics results ⓘ events for policy decisions ⓘ |
| partOf | ONAP NERFINISHED ⓘ |
| performs |
anomaly detection
ⓘ
real-time event correlation ⓘ stream processing ⓘ threshold-based analysis ⓘ |
| provides |
data collection
ⓘ
event processing ⓘ real-time analytics ⓘ |
| supports |
PNFs
ⓘ
VNFs ⓘ closed-loop automation ⓘ cloud-native network functions ⓘ intelligent network management ⓘ model-driven configuration ⓘ multi-VIM scenarios ⓘ multi-cloud environments ⓘ policy-driven behavior ⓘ |
| usedIn |
fault management
ⓘ
performance management ⓘ policy-driven automation ⓘ service assurance ⓘ |
| uses |
message bus
ⓘ
streaming data infrastructure ⓘ |
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: DCAE (Data Collection, Analytics and Events) Description of subject: DCAE (Data Collection, Analytics and Events) is an ONAP platform component that provides scalable data collection, real-time analytics, and event processing to enable closed-loop automation and intelligent network management.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.