Triple
T5480151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LTE-M |
E123448
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Internet of Things connectivity technology |
C9032
|
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: Internet of Things connectivity technology Context triple: [LTE-M, instanceOf, Internet of Things connectivity technology]
-
A.
data connectivity technology
chosen
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.
-
B.
Internet of Things platform
An Internet of Things platform is an integrated software and hardware environment that connects, manages, and analyzes data from distributed IoT devices to enable monitoring, control, and automation of physical systems.
-
C.
connectivity measurement framework
A connectivity measurement framework is a structured system of methods, metrics, and tools used to quantify, analyze, and compare the quality, reliability, and performance of connections within a network or between distributed components.
-
D.
Wi‑Fi security certification program
A Wi‑Fi security certification program is a formal framework that evaluates, validates, and labels wireless networks and devices against defined security standards to ensure safe and trustworthy Wi‑Fi usage.
-
E.
wireless communication device
A wireless communication device is an electronic apparatus that transmits and receives data over radio or other non-wired signals to enable voice, text, or multimedia communication without physical connections.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
Created at: March 20, 2026, 2:09 p.m.