Triple
T35916253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segment |
E1038756
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data infrastructure company |
C11843
|
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 infrastructure company Context triple: [Segment, instanceOf, data infrastructure company]
-
A.
digital infrastructure company
A digital infrastructure company designs, builds, and operates the foundational technology systems—such as data centers, networks, cloud platforms, and connectivity services—that enable digital applications and services to function reliably and at scale.
-
B.
data center
A data center is a specialized facility that houses networked computer systems, storage, and infrastructure to process, manage, and store large volumes of digital data.
-
C.
data integration platform
chosen
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.
-
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.
Data and AI company
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.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.