Triple
T7428070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SD-WAN |
E171417
|
entity |
| Predicate | fullForm |
P2351
|
FINISHED |
| Object | Software-Defined Wide Area Network |
E171417
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Software-Defined Wide Area Network | Statement: [SD-WAN, fullForm, Software-Defined Wide Area Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Software-Defined Wide Area Network Context triple: [SD-WAN, fullForm, Software-Defined Wide Area Network]
-
A.
Network-in-Network architecture
Network-in-Network architecture is a convolutional neural network design that replaces traditional linear convolution layers with micro multilayer perceptrons (MLPs) to enhance feature abstraction and model expressiveness.
-
B.
Next Generation Network architectures
Next Generation Network architectures are advanced telecommunications frameworks that integrate voice, data, and multimedia services over a unified, packet-based IP infrastructure to enable flexible, scalable, and service-agnostic communication.
-
C.
SD-WAN
chosen
SD-WAN (Software-Defined Wide Area Network) is a networking technology that uses software-based controls to intelligently route traffic across multiple WAN connections, improving performance, reliability, and manageability for distributed networks.
-
D.
Software-Defined Networking Research Group
The Software-Defined Networking Research Group is an IRTF working group that investigates architectures, protocols, and technologies for software-defined networking to inform and influence future Internet standards and deployments.
-
E.
Self-Organizing Networks enhancements
Self-Organizing Networks enhancements are advanced automation and optimization capabilities introduced in later 3GPP standards to improve mobile network efficiency, performance, and self-management.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f306bfe481909f99f6792de95ffc |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f0e28e88190805108dff740dda3 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.