Monasca
E699731
Monasca is an OpenStack project that provides a scalable, multi-tenant monitoring-as-a-service solution for metrics, logs, and alarms in cloud environments.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Monasca canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7937940 — 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: Monasca Context triple: [OpenStack, component, Monasca]
-
A.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
B.
Mesaoria
Mesaoria is the central plain of Cyprus, known for its fertile agricultural land and its role as a key geographical and historical region of the island.
-
C.
Daphni
Daphni is an area near Athens in Greece known for its historic monastery and its location along the ancient route between Athens and Eleusis.
-
D.
Egrisi
Egrisi was a medieval Georgian kingdom that emerged as a successor to ancient Colchis in the western Caucasus region.
-
E.
Limonia
Limonia is a small genus of flowering plants in the citrus family, best known for species like the wood-apple that produce hard-shelled, aromatic fruits.
- 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: Monasca Target entity description: Monasca is an OpenStack project that provides a scalable, multi-tenant monitoring-as-a-service solution for metrics, logs, and alarms in cloud environments.
-
A.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
B.
Mesaoria
Mesaoria is the central plain of Cyprus, known for its fertile agricultural land and its role as a key geographical and historical region of the island.
-
C.
Daphni
Daphni is an area near Athens in Greece known for its historic monastery and its location along the ancient route between Athens and Eleusis.
-
D.
Egrisi
Egrisi was a medieval Georgian kingdom that emerged as a successor to ancient Colchis in the western Caucasus region.
-
E.
Limonia
Limonia is a small genus of flowering plants in the citrus family, best known for species like the wood-apple that produce hard-shelled, aromatic fruits.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
OpenStack project
ⓘ
cloud monitoring system ⓘ monitoring-as-a-service platform ⓘ |
| deploymentModel | distributed ⓘ |
| designedFor | cloud environments ⓘ |
| feature |
API-driven configuration
ⓘ
alarm definitions ⓘ alarm notifications ⓘ fault tolerance ⓘ high availability ⓘ multi-region support ⓘ multi-tenancy ⓘ real-time monitoring ⓘ scalability ⓘ streaming metrics collection ⓘ threshold-based alarms ⓘ |
| hasComponent |
Monasca API
NERFINISHED
ⓘ
Monasca Agent NERFINISHED ⓘ Monasca Log API NERFINISHED ⓘ Monasca Notification Engine NERFINISHED ⓘ Monasca Persister NERFINISHED ⓘ Monasca Threshold Engine NERFINISHED ⓘ Monasca UI NERFINISHED ⓘ |
| integratesWith |
Ceilometer
NERFINISHED
ⓘ
Cinder NERFINISHED ⓘ Horizon NERFINISHED ⓘ Keystone NERFINISHED ⓘ Neutron NERFINISHED ⓘ Nova NERFINISHED ⓘ OpenStack services NERFINISHED ⓘ |
| license | Apache License 2.0 ⓘ |
| partOf | OpenStack NERFINISHED ⓘ |
| provides | monitoring-as-a-service ⓘ |
| supports |
REST API
NERFINISHED
ⓘ
SNMP traps ⓘ alarms management ⓘ email notifications ⓘ event-driven alarms ⓘ log aggregation ⓘ logs monitoring ⓘ metric retention policies ⓘ metrics monitoring ⓘ multi-tenant isolation ⓘ notification plugins ⓘ role-based access control ⓘ webhook notifications ⓘ |
| targetUser |
OpenStack administrators
ⓘ
cloud operators ⓘ |
| uses | time-series database ⓘ |
| writtenIn | Python ⓘ |
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: Monasca Description of subject: Monasca is an OpenStack project that provides a scalable, multi-tenant monitoring-as-a-service solution for metrics, logs, and alarms in cloud environments.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.