Triple
T27911795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM watsonx.data |
E705946
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data lakehouse platform |
C23351
|
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 lakehouse platform Context triple: [IBM watsonx.data, instanceOf, data lakehouse platform]
-
A.
data lake service
chosen
A data lake service is a scalable, centralized repository that stores vast amounts of raw, structured, and unstructured data and provides tools for ingestion, management, and analytics.
-
B.
data warehouse platform
A data warehouse platform is an integrated system that collects, stores, and organizes large volumes of structured data from multiple sources to support efficient querying, reporting, and analytics for business decision-making.
-
C.
data processing platform
A data processing platform is an integrated system that ingests, transforms, analyzes, and manages data at scale to enable efficient, reliable, and repeatable data-driven operations and insights.
-
D.
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.
-
E.
data management platform
A data management platform is a centralized system that collects, organizes, governs, and activates data from multiple sources to enable secure, consistent, and analytics-ready information across an organization.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
Created at: April 27, 2026, 6:50 p.m.