Triple

T2162486
Position Surface form Disambiguated ID Type / Status
Subject Chutney music E46831 entity
Predicate hasSubgenre P3485 FINISHED
Object Chutney soca E46831 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: Chutney soca | Statement: [Chutney music, hasSubgenre, Chutney soca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chutney soca
Context triple: [Chutney music, hasSubgenre, Chutney soca]
  • A. 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.
  • B. Chutney music chosen
    Chutney music is a lively Indo-Caribbean musical genre that blends Indian folk melodies and instruments with Caribbean rhythms and often features lyrics in Hindi, Bhojpuri, and English.
  • C. Soca Warriors
    Soca Warriors is the popular nickname of the Trinidad and Tobago national football team, known for its vibrant, attacking style and passionate Caribbean flair.
  • D. Afroswing
    Afroswing is a UK-born music genre that fuses elements of Afrobeats, dancehall, hip hop, and R&B into a melodic, rhythm-driven sound.
  • E. Cajiqueño
    Cajiqueño is the Spanish demonym for a person from the Colombian municipality of Cajicá.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8b9c0881908373eabc7f81c394 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d98286c8190a6890e2c7daa10b5 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.