Triple
T5479980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP Release 10 |
E123444
|
entity |
| Predicate | supportsFeature |
P203
|
FINISHED |
| Object |
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.
|
E522262
|
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: Self-Organizing Networks enhancements | Statement: [3GPP Release 10, supportsFeature, Self-Organizing Networks enhancements]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Self-Organizing Networks enhancements Context triple: [3GPP Release 10, supportsFeature, Self-Organizing Networks enhancements]
-
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.
Access and Mobility Management Function
The Access and Mobility Management Function (AMF) is a key 5G core network control-plane function responsible for user equipment registration, connection and mobility management, and access authentication.
-
C.
Time-Sensitive Networking
Time-Sensitive Networking is a set of IEEE 802 Ethernet standards that enable deterministic, low-latency, and highly reliable communication for real-time applications such as industrial automation, automotive, and professional audio/video.
-
D.
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.
-
E.
Classless Inter-Domain Routing
Classless Inter-Domain Routing (CIDR) is an IP addressing and routing scheme that replaces traditional class-based networks to enable more efficient allocation of IP address space and improved route aggregation on the internet.
- 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: Self-Organizing Networks enhancements Triple: [3GPP Release 10, supportsFeature, Self-Organizing Networks enhancements]
Generated description
Self-Organizing Networks enhancements are advanced automation and optimization capabilities introduced in later 3GPP standards to improve mobile network efficiency, performance, and self-management.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Self-Organizing Networks enhancements Target entity description: Self-Organizing Networks enhancements are advanced automation and optimization capabilities introduced in later 3GPP standards to improve mobile network efficiency, performance, and self-management.
-
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.
Access and Mobility Management Function
The Access and Mobility Management Function (AMF) is a key 5G core network control-plane function responsible for user equipment registration, connection and mobility management, and access authentication.
-
C.
Time-Sensitive Networking
Time-Sensitive Networking is a set of IEEE 802 Ethernet standards that enable deterministic, low-latency, and highly reliable communication for real-time applications such as industrial automation, automotive, and professional audio/video.
-
D.
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.
-
E.
Classless Inter-Domain Routing
Classless Inter-Domain Routing (CIDR) is an IP addressing and routing scheme that replaces traditional class-based networks to enable more efficient allocation of IP address space and improved route aggregation on the internet.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9248ca348190aa116cace0f9b07a |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48a001c081909b0e9f1b36fd10db |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf496861f08190aca539510ddfebbc |
completed | March 22, 2026, 1:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf49c564188190b4b3a40ee09b0461 |
completed | March 22, 2026, 1:45 a.m. |
Created at: March 20, 2026, 2:09 p.m.