Triple
T1647647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Synapse Analytics |
E35618
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | big data analytics platform |
C4107
|
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: big data analytics platform Context triple: [Azure Synapse Analytics, instanceOf, big data analytics platform]
-
A.
analytics platform
chosen
An analytics platform is a software system that collects, processes, and visualizes data from various sources to provide insights and support data-driven decision-making.
-
B.
data visualization platform
A data visualization platform is a software system that enables users to transform raw data into interactive, graphical representations to explore insights, identify patterns, and communicate information effectively.
-
C.
data center platform
A data center platform is an integrated environment of hardware, software, and management tools that provides scalable, secure, and reliable infrastructure for hosting, processing, and managing data and applications.
-
D.
open data platform
An open data platform is a system that collects, manages, and publishes structured datasets with standardized formats and open access policies, enabling users to discover, download, and reuse data freely.
-
E.
cloud computing platform
A cloud computing platform is an integrated environment that provides on-demand access to scalable computing resources, storage, and services over the internet, enabling users to deploy, manage, and run applications without managing underlying hardware.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:29 p.m.