Triple
T27594169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenTracing |
E699850
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | distributed tracing API |
C23437
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: distributed tracing API Context triple: [OpenTracing, instanceOf, distributed tracing API]
-
A.
cloud-native observability service
A cloud-native observability service is a scalable, distributed platform that collects, correlates, and analyzes metrics, logs, and traces from cloud-native applications and infrastructure to provide real-time visibility, alerting, and insights into system health and performance.
-
B.
trace-class-related operator
A trace-class-related operator is a bounded linear operator on a Hilbert space that either belongs to the trace class or is closely associated with trace-class operators through properties like having well-defined traces, trace norms, or arising as limits or perturbations of trace-class operators.
-
C.
telemetry service
chosen
A telemetry service is a system component that collects, transmits, stores, and analyzes operational and performance data from distributed applications or devices to enable monitoring, diagnostics, and optimization.
-
D.
auto trail
An auto trail is an early, often informally designated long-distance automobile route, typically marked by roadside signs or painted symbols, that guided motorists before the establishment of numbered highway systems.
-
E.
tracker
A tracker is a system or component that continuously monitors, records, and updates the status or position of specified entities over time.
- F. None of above.
Provenance (1 batch)
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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 2:06 p.m.