Triple
T5480929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Access and Mobility Management Function |
E123463
|
entity |
| Predicate | interfacesWith |
P12981
|
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: [Access and Mobility Management Function, interfacesWith, Network Slice Selection Function]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Network Slice Selection Function Context triple: [Access and Mobility Management Function, interfacesWith, 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.
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.
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.
-
D.
5G Core
5G Core is the cloud-native, service-based core network architecture that underpins 5G mobile systems, enabling advanced connectivity, slicing, and low-latency services.
-
E.
Evolved Packet Core
Evolved Packet Core is the 4G LTE mobile network architecture responsible for managing data connectivity, mobility, and services between user devices and external IP networks.
- 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_69bf48a2880c8190ad76cf8c3862aede |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:09 p.m.