Triple

T12258169
Position Surface form Disambiguated ID Type / Status
Subject Afrobashment E292153 entity
Predicate alternativeNameOf P39 FINISHED
Object Afroswing E59912 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: Afroswing | Statement: [Afrobashment, alternativeNameOf, Afroswing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afroswing
Context triple: [Afrobashment, alternativeNameOf, Afroswing]
  • A. Afroswing chosen
    Afroswing is a UK-born music genre that fuses elements of Afrobeats, dancehall, hip hop, and R&B into a melodic, rhythm-driven sound.
  • B. Soca
    Soca is a lively Caribbean music genre from Trinidad and Tobago that blends calypso with Indian and other global influences, known for its upbeat rhythms and association with Carnival.
  • C. Forro
    Forro is a Portuguese-based creole language spoken primarily on the islands of São Tomé and Príncipe in the Gulf of Guinea.
  • D. Afro-Cuban music
    Afro-Cuban music is a genre that fuses African rhythmic and religious traditions with Cuban Spanish melodies and forms, giving rise to styles like rumba, son, and salsa that have profoundly shaped Caribbean and global popular music.
  • E. Rumba
    Rumba is one of the spacecraft in the Cluster mission, a European Space Agency project studying Earth's magnetosphere in three dimensions.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ccadc3c81908fe68adc3fdcc851 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abfc8588190ab9300c6e5e59092 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.