Triple
T27888832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Gobblin |
E705297
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | open-source data integration framework |
C11843
|
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: open-source data integration framework Context triple: [Apache Gobblin, instanceOf, open-source data integration framework]
-
A.
data integration platform
chosen
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.
-
B.
data integration approach
A data integration approach is a conceptual strategy that defines how data from multiple, heterogeneous sources is combined, transformed, and unified into a coherent, usable view for analysis and operations.
-
C.
data sharing framework
A data sharing framework is a structured set of policies, standards, and technical mechanisms that governs how data is securely, ethically, and interoperably exchanged between parties.
-
D.
open-source framework
An open-source framework is a publicly accessible, collaboratively developed software foundation that provides reusable components and tools to simplify and accelerate application development.
-
E.
big data framework
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.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
Created at: April 27, 2026, 6:34 p.m.