Triple

T21265088
Position Surface form Disambiguated ID Type / Status
Subject Call Session Control Function E524103 entity
Predicate communicatesWith P19362 FINISHED
Object MRF NE NERFINISHED

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: MRF | Statement: [Call Session Control Function, communicatesWith, MRF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRF
Context triple: [Call Session Control Function, communicatesWith, MRF]
  • A. MRF chosen
    MRF (Media Resource Function) is a core network component in IP Multimedia Subsystem (IMS) architectures responsible for handling media processing tasks such as mixing, transcoding, and media stream manipulation for real-time communication services.
  • B. MFR
    MFR is the three-letter IATA airport code for Rogue Valley International–Medford Airport in Medford, Oregon, United States.
  • C. MRAF
    MRAF is the highest rank in the Royal Air Force, equivalent to a five-star air officer and typically held only in wartime or as an honorary appointment.
  • D. M&R
    M&R is the commonly used abbreviation for Murray & Roberts, a South African engineering and construction services company.
  • E. MIF
    MIF is a fund within the Inter-American Development Bank Group that supports private sector development and inclusive economic growth in Latin America and the Caribbean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735ebe09081909f74301e91b4d3d7 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 4 p.m.