Triple
T19750033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Server Load Balancer |
E474350
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | CloudMonitor |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CloudMonitor | Statement: [Server Load Balancer, integratesWith, CloudMonitor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CloudMonitor Context triple: [Server Load Balancer, integratesWith, CloudMonitor]
-
A.
Cloud Monitoring
Cloud Monitoring is a Google Cloud service that collects, visualizes, and alerts on metrics, logs, and uptime data from applications and infrastructure running in the cloud and on-premises.
-
B.
VividCortex
VividCortex is a database performance monitoring and analytics platform designed to help teams optimize and troubleshoot production database workloads in real time.
-
C.
Oracle Cloud Infrastructure Monitoring
Oracle Cloud Infrastructure Monitoring is a cloud-native service that collects, analyzes, and visualizes metrics and logs from Oracle Cloud resources and applications to support observability and operational insights.
-
D.
Uptime Infrastructure Monitor
Uptime Infrastructure Monitor is an IT infrastructure monitoring and reporting solution that tracks the performance, availability, and capacity of servers, networks, and applications across complex environments.
-
E.
Amazon CloudWatch
Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
- 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: CloudMonitor Target entity description: CloudMonitor is a cloud-based monitoring and observability service that tracks the performance, availability, and health of infrastructure and applications.
-
A.
Cloud Monitoring
Cloud Monitoring is a Google Cloud service that collects, visualizes, and alerts on metrics, logs, and uptime data from applications and infrastructure running in the cloud and on-premises.
-
B.
VividCortex
VividCortex is a database performance monitoring and analytics platform designed to help teams optimize and troubleshoot production database workloads in real time.
-
C.
Oracle Cloud Infrastructure Monitoring
Oracle Cloud Infrastructure Monitoring is a cloud-native service that collects, analyzes, and visualizes metrics and logs from Oracle Cloud resources and applications to support observability and operational insights.
-
D.
Uptime Infrastructure Monitor
Uptime Infrastructure Monitor is an IT infrastructure monitoring and reporting solution that tracks the performance, availability, and capacity of servers, networks, and applications across complex environments.
-
E.
Amazon CloudWatch
Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
- F. None of above. chosen
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529875688190952af476aa5be492 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.