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.