Triple
T4600170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Cloud Dataproc |
E100303
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | big data processing service |
C11253
|
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: big data processing service Context triple: [Google Cloud Dataproc, instanceOf, big data processing service]
-
A.
managed data ingestion service
A managed data ingestion service is a fully hosted platform that reliably collects, transforms, and routes data from diverse sources into target systems at scale, handling infrastructure, scaling, and monitoring automatically.
-
B.
data processing capability
Data processing capability is the capacity of a system to efficiently collect, transform, analyze, and output data to support specific tasks or decision-making processes.
-
C.
big data framework
chosen
A big data framework is a software platform that enables the distributed storage, processing, and analysis of large-scale, complex datasets across clusters of machines.
-
D.
performance lake
A performance lake is a centralized repository that aggregates, stores, and organizes diverse performance-related data from multiple sources to enable comprehensive analysis, monitoring, and optimization.
-
E.
data integration platform
A data integration platform is a system that connects, transforms, and consolidates data from disparate sources into a unified, accessible, and consistent view for analysis and operational use.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
Created at: March 20, 2026, 1:11 p.m.