Triple
T15989620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloudera |
E387790
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Enterprise data management company |
C32995
|
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: Enterprise data management company Context triple: [Cloudera, instanceOf, Enterprise data management company]
-
A.
Data and AI company
chosen
A Data and AI company specializes in collecting, managing, and analyzing data to build intelligent systems and solutions that automate decisions, generate insights, and create predictive or generative capabilities for businesses.
-
B.
enterprise software vendor
An enterprise software vendor is a company that develops, sells, and supports large-scale software solutions designed to meet the complex, mission-critical needs of organizations.
-
C.
computer services company
A computer services company is an organization that provides technical expertise, support, and solutions related to computer systems, software, networks, and IT infrastructure for individuals or other businesses.
-
D.
healthcare technology company
A healthcare technology company develops and delivers digital tools, platforms, and data-driven solutions that improve the efficiency, quality, and accessibility of medical care and health management.
-
E.
cloud services company
A cloud services company provides on-demand computing resources, storage, and software platforms over the internet, enabling organizations to scale and manage their IT infrastructure efficiently without owning physical 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:54 a.m.