Triple
T4294545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java (via Snowpark) |
E99678
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data processing capability |
C15544
|
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: data processing capability Context triple: [Java (via Snowpark), instanceOf, data processing capability]
-
A.
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.
-
B.
global data-processing and forecasting system
A global data-processing and forecasting system is an integrated platform that ingests, cleans, analyzes, and models large-scale, heterogeneous data from worldwide sources to generate timely predictions and insights for decision-making.
-
C.
data quality tool
A data quality tool is a software solution that profiles, validates, cleans, and monitors data to ensure its accuracy, consistency, completeness, and reliability across systems.
-
D.
machine-readable data collection
A machine-readable data collection is an organized set of data stored in a structured digital format that can be automatically processed and interpreted by computer systems without human intervention.
-
E.
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.
- F. None of above. chosen
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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:08 p.m.