Triple
T32709024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JobParameters API |
E836348
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Jakarta Batch API component |
C59337
|
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: Jakarta Batch API component Context triple: [JobParameters API, instanceOf, Jakarta Batch API component]
-
A.
batch processing environment
A batch processing environment is a computing setup where jobs are collected, scheduled, and executed automatically without user interaction, typically optimized for high-throughput, large-scale, or periodic workloads.
-
B.
Jakarta EE API type
chosen
A Jakarta EE API type is a Java interface or class defined by the Jakarta EE specifications that provides standardized contracts and behaviors for building enterprise applications on compatible runtimes.
-
C.
JAX ecosystem library
A JAX ecosystem library is a software package that builds on JAX’s array, autodiff, and compilation primitives to provide higher-level functionality such as neural network layers, optimization, probabilistic modeling, or scientific computing tools.
-
D.
Jakarta Server Faces implementation
A Jakarta Server Faces implementation is a concrete framework or library that provides the runtime, components, and lifecycle management needed to execute JSF-based web applications according to the Jakarta Faces specification.
-
E.
Apache Flink component
An Apache Flink component is a modular building block within a Flink-based data processing pipeline that performs specific tasks such as data ingestion, transformation, state management, or output to sinks in both batch and stream processing applications.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:10 a.m.