Triple
T15989619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloudera |
E387790
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Big data 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: Big data company Context triple: [Cloudera, instanceOf, Big data 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.
Internet of Things company
An Internet of Things company designs, develops, and manages connected devices and platforms that collect, exchange, and analyze data over networks to deliver automated, intelligent services.
-
C.
DNA sequencing company
A DNA sequencing company provides services and technologies that determine the precise order of nucleotides in DNA samples for research, clinical, and commercial applications.
-
D.
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.
-
E.
multinational technology conglomerate
A multinational technology conglomerate is a large corporation that operates across multiple countries and industries, owning and managing diverse technology-focused businesses under a unified corporate structure.
- 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.