Triple

T5480971
Position Surface form Disambiguated ID Type / Status
Subject Network Slice Selection Function E123464 entity
Predicate interactsWith P3970 FINISHED
Object AMF E523088 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: AMF | Statement: [Network Slice Selection Function, interactsWith, AMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMF
Context triple: [Network Slice Selection Function, interactsWith, AMF]
  • A. AMF
    AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
  • B. AMF chosen
    AMF is a core 5G network function responsible for managing user access, registration, mobility, and connection handling between devices and the mobile network.
  • C. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • D. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • E. AMM
    AMM is the IATA airport code for Queen Alia International Airport, the main international gateway serving Amman, Jordan.
  • 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_69bf6c812d4c8190a22f76b787ab0f10 completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:09 p.m.