Triple

T6380298
Position Surface form Disambiguated ID Type / Status
Subject Abraxas E143562 entity
Predicate hasTrack P3284 FINISHED
Object Oye Como Va E143565 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: Oye Como Va | Statement: [Abraxas, hasTrack, Oye Como Va]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oye Como Va
Context triple: [Abraxas, hasTrack, Oye Como Va]
  • A. Oye Como Va chosen
    "Oye Como Va" is a classic Latin rock song, originally written by Tito Puente and popularized worldwide by Santana’s 1970 rendition blending Afro-Cuban rhythms with electric guitar.
  • B. Ay Vamos
    "Ay Vamos" is a popular reggaeton song by Colombian artist J Balvin that significantly boosted his international recognition in Latin urban music.
  • C. La Cucaracha
    La Cucaracha is a pioneering 1934 Technicolor short comedy film notable for its early use of three-strip color and its recognition at the Academy Awards.
  • D. Dile Que Tú Me Quieres
    "Dile Que Tú Me Quieres" is a popular reggaeton song by Puerto Rican artist Ozuna that helped propel his rise in the Latin urban music scene.
  • E. Oye Mi Canto
    "Oye Mi Canto" is a popular reggaeton track best known for helping bring the genre into mainstream Latin and U.S. urban music audiences in the early 2000s.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685265208190b2204bd4abff2668 completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62daf2f408190923d67bd0222d2bb completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.