Triple

T5480592
Position Surface form Disambiguated ID Type / Status
Subject BGCF E123456 entity
Predicate belongsTo P35 FINISHED
Object 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.
E523068 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: Next Generation Network architectures | Statement: [BGCF, belongsTo, Next Generation Network architectures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Next Generation Network architectures
Context triple: [BGCF, belongsTo, Next Generation Network architectures]
  • 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. Towards a New Architecture
    Towards a New Architecture is a seminal 1923 architectural treatise by Le Corbusier that advocates for modernist design principles grounded in industrialization, functionalism, and new construction technologies.
  • C. Ethernet in the First Mile
    Ethernet in the First Mile is a set of IEEE standards that extend Ethernet technology to access networks, enabling broadband connectivity over copper and fiber in the “last mile” between service providers and end users.
  • D. 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.
  • E. 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.
  • 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: Next Generation Network architectures
Triple: [BGCF, belongsTo, Next Generation Network architectures]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Next Generation Network architectures
Target entity description: 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.
  • 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. 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.
  • C. Towards a New Architecture
    Towards a New Architecture is a seminal 1923 architectural treatise by Le Corbusier that advocates for modernist design principles grounded in industrialization, functionalism, and new construction technologies.
  • D. Ethernet in the First Mile
    Ethernet in the First Mile is a set of IEEE standards that extend Ethernet technology to access networks, enabling broadband connectivity over copper and fiber in the “last mile” between service providers and end users.
  • E. 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.
  • 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_69bd924a2eb08190b759b23a6eab5e0a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a2880c8190ad76cf8c3862aede completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4a95375881909ba730ad108eee8b completed March 22, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_69bf4afb47a88190a66de6b6c7d5c241 completed March 22, 2026, 1:50 a.m.
Created at: March 20, 2026, 2:09 p.m.