Triple
T283489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Telecommunication System |
E5838
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | meteorological data communication network |
C2064
|
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: meteorological data communication network Context triple: [Global Telecommunication System, instanceOf, meteorological data communication network]
-
A.
meteorological organization
A meteorological organization is an entity responsible for observing, analyzing, and forecasting atmospheric conditions to support weather prediction, climate monitoring, and related public and scientific services.
-
B.
military communications organization
A military communications organization is a structured unit responsible for planning, managing, and operating secure, reliable information and communication systems that support command, control, and coordination of military forces.
-
C.
communication protocol
A communication protocol is a defined set of rules and formats that enable reliable, structured exchange of data between two or more communicating entities in a networked system.
-
D.
communication protocol suite
A communication protocol suite is a coordinated set of network protocols that work together across different layers to enable reliable data exchange between devices in a communication system.
-
E.
YANG data model standard
A YANG data model standard is a formal, structured language used to model configuration and state data for network devices and services in a vendor-neutral, interoperable way.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.