Triple

T22814892
Position Surface form Disambiguated ID Type / Status
Subject MMUSIC E565071 entity
Predicate communicationChannel P2798 FINISHED
Object MMUSIC mailing list 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: MMUSIC mailing list | Statement: [MMUSIC, communicationChannel, MMUSIC mailing list]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MMUSIC mailing list
Context triple: [MMUSIC, communicationChannel, MMUSIC mailing list]
  • A. MMUSIC chosen
    MMUSIC is the IETF Multiparty Multimedia Session Control Working Group focused on developing protocols and mechanisms for initiating and managing multiparty multimedia communication sessions over the internet.
  • B. NSS Music
    NSS Music is a music label and production company established by acclaimed violinist Nadia Salerno-Sonnenberg to support and promote classical and contemporary music projects.
  • C. Musicmagic
    Musicmagic is a 1977 jazz fusion album by Return to Forever that marked the band’s final studio release and a shift toward a more vocal, orchestrated sound.
  • D. MUS
    MUS is the standard abbreviation used to refer to Museum station, a public transit stop.
  • E. MUS
    MUS is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritius for international identification and data standards.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcb872881909a031d8560635fce completed April 29, 2026, 3:40 a.m.
Created at: April 17, 2026, 3:33 p.m.