Triple
T7938084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenStack Neutron |
E184329
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object |
SDN controllers
SDN controllers are centralized software platforms that manage and program network behavior in software-defined networking environments, enabling dynamic, automated, and programmable control of network resources.
|
E699757
|
NE FINISHED |
How this triple was built (4 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: SDN controllers | Statement: [OpenStack Neutron, integratesWith, SDN controllers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SDN controllers Context triple: [OpenStack Neutron, integratesWith, SDN controllers]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
OpenStack Neutron
OpenStack Neutron is the networking service within the OpenStack cloud computing platform that provides scalable, programmable virtual networking for cloud resources.
-
E.
Network Control Protocol
Network Control Protocol was an early host-to-host communication protocol that formed the basis of data transmission on the ARPANET before the adoption of TCP/IP.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SDN controllers Triple: [OpenStack Neutron, integratesWith, SDN controllers]
Generated description
SDN controllers are centralized software platforms that manage and program network behavior in software-defined networking environments, enabling dynamic, automated, and programmable control of network resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SDN controllers Target entity description: SDN controllers are centralized software platforms that manage and program network behavior in software-defined networking environments, enabling dynamic, automated, and programmable control of network resources.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Juniper Contrail
Juniper Contrail is a software-defined networking (SDN) and network virtualization platform from Juniper Networks that provides automated, programmable networking and security for cloud and data center environments.
-
E.
OpenStack Neutron
OpenStack Neutron is the networking service within the OpenStack cloud computing platform that provides scalable, programmable virtual networking for cloud resources.
- F. None of above. chosen
Provenance (5 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3af0a2048190838d1aeda59fda0b |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0a96ac819099ad30fb925eb329 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb7634f4dc8190b5e537f24bccd651 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb67e77a48190b93c6ba61becfac4 |
completed | March 31, 2026, 11:56 a.m. |
Created at: March 30, 2026, 5:08 p.m.