Triple

T20014692
Position Surface form Disambiguated ID Type / Status
Subject Feijão com Arroz E494683 entity
Predicate hasTrack P3284 FINISHED
Object Batuque 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: Batuque | Statement: [Feijão com Arroz, hasTrack, Batuque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batuque
Context triple: [Feijão com Arroz, hasTrack, Batuque]
  • A. Batuque
    Batuque is an Afro-Brazilian religious tradition that blends West African (especially Yoruba) spiritual practices with elements of Catholicism and Indigenous beliefs, centered on the worship of orixás through music, dance, and ritual.
  • B. Batuque chosen
    Batuque is a Brazilian song best known for its inclusion on Daniela Mercury’s influential 1992 album "O Canto da Cidade," which helped popularize axé music.
  • C. Sambas
    Sambas is a historic riverine town and regency capital in northern West Kalimantan, Indonesia, known for its Malay cultural heritage and strategic location near the Malaysian border.
  • D. Cachaço
    Cachaço is a settlement located within the municipality of Ribeira Brava in Cape Verde.
  • E. Forro
    Forro is a Portuguese-based creole language spoken primarily on the islands of São Tomé and Príncipe in the Gulf of Guinea.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623a9bd48190a3344a07540170c7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.