Triple
T20844556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 50 Gigabit Ethernet |
E513185
|
entity |
| Predicate | supportsTopology |
P203
|
FINISHED |
| Object | Clos networks |
—
|
NE NERFINISHED |
How this triple was built (3 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: Clos networks | Statement: [50 Gigabit Ethernet, supportsTopology, Clos networks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clos networks Context triple: [50 Gigabit Ethernet, supportsTopology, Clos networks]
-
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.
High-Performance Communication Networks
High-Performance Communication Networks is a widely used technical book that provides a comprehensive treatment of the design, analysis, and performance of modern communication networks and protocols.
-
C.
OSA-Express networking
OSA-Express networking is IBM’s high-speed, integrated network adapter technology for mainframe systems, providing advanced Ethernet and IP connectivity for IBM System z environments.
-
D.
Data Center Bridging
Data Center Bridging is a suite of IEEE Ethernet enhancements designed to provide lossless, low-latency, and converged networking for modern data center environments.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clos networks Target entity description: Clos networks are multi-stage, scalable switching architectures widely used in high-performance data centers and networking equipment to provide high bandwidth and low-latency connectivity.
-
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.
High-Performance Communication Networks
High-Performance Communication Networks is a widely used technical book that provides a comprehensive treatment of the design, analysis, and performance of modern communication networks and protocols.
-
C.
OSA-Express networking
OSA-Express networking is IBM’s high-speed, integrated network adapter technology for mainframe systems, providing advanced Ethernet and IP connectivity for IBM System z environments.
-
D.
Data Center Bridging
Data Center Bridging is a suite of IEEE Ethernet enhancements designed to provide lossless, low-latency, and converged networking for modern data center environments.
-
E.
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.
- F. None of above. chosen
Provenance (2 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34deef88190992b959b83bc59b1 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.