Triple
T7985438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YARN |
E185672
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Hadoop component |
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: Hadoop component Context triple: [YARN, instanceOf, Hadoop component]
-
A.
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.
-
B.
Java platform component
A Java platform component is a modular part of the Java ecosystem—such as the JVM, core libraries, or development tools—that provides specific functionality enabling Java applications to run and be developed consistently across environments.
-
C.
machine learning platform component
A machine learning platform component is a modular software element that provides specific functionality—such as data processing, model training, deployment, or monitoring—within an integrated ML lifecycle system.
-
D.
R infrastructure component
An R infrastructure component is a foundational element—such as runtime, package system, or tooling—that supports the execution, management, and scalability of R-based data analysis and applications.
-
E.
data engineering tool
A data engineering tool is a software solution that enables the collection, transformation, orchestration, and management of data pipelines to ensure reliable, scalable, and efficient data processing.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:15 p.m.