Triple
T21193313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Self-Organizing Networks enhancements |
E522262
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | mobile network feature set |
C44330
|
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: mobile network feature set Context triple: [Self-Organizing Networks enhancements, instanceOf, mobile network feature set]
-
A.
smartphone hardware feature
A smartphone hardware feature is a physical component or built-in device capability—such as a camera, fingerprint sensor, or NFC chip—that enables specific functions and interactions on a smartphone.
-
B.
feature phone
A feature phone is a mobile device that offers basic calling and texting capabilities along with limited multimedia and internet functions, without the advanced operating systems and app ecosystems of smartphones.
-
C.
mobile operating system feature
A mobile operating system feature is a built-in software capability or service within a smartphone or tablet OS that enhances device functionality, user interaction, performance, or security.
-
D.
data connectivity technology
Data connectivity technology encompasses the tools, protocols, and infrastructure that enable seamless, secure, and reliable exchange of data between systems, applications, and devices across diverse networks and environments.
-
E.
mobile application feature
A mobile application feature is a distinct, user-facing capability or function within a mobile app that enables users to perform specific tasks or achieve particular goals.
- F. None of above. chosen
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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
Created at: April 16, 2026, 3:07 p.m.