Triple

T5481081
Position Surface form Disambiguated ID Type / Status
Subject Unified Data Repository E123466 entity
Predicate accessedBy P1985 FINISHED
Object Network Slice Selection Function E123464 NE FINISHED

How this triple was built (2 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: Network Slice Selection Function | Statement: [Unified Data Repository, accessedBy, Network Slice Selection Function]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Network Slice Selection Function
Context triple: [Unified Data Repository, accessedBy, Network Slice Selection Function]
  • A. Network Slice Selection Function chosen
    The Network Slice Selection Function (NSSF) is a 5G core network function that determines and assigns the appropriate network slice for user equipment based on subscription, service requirements, and network policies.
  • B. Network Slice Instance
    A Network Slice Instance is a logically isolated, end-to-end 5G network partition tailored to specific service or customer requirements, providing dedicated resources and performance characteristics.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bf70dcb0c881909d9aaf0050a5c27b completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 2:09 p.m.