Triple

T22823153
Position Surface form Disambiguated ID Type / Status
Subject Calle 13 E565278 entity
Predicate notableSong P4 FINISHED
Object Latinoamérica 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: Latinoamérica | Statement: [Calle 13, notableSong, Latinoamérica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latinoamérica
Context triple: [Calle 13, notableSong, Latinoamérica]
  • A. Latin America chosen
    Latin America is a culturally diverse region of the Americas, spanning Mexico, Central and South America, and much of the Caribbean, where Romance languages—primarily Spanish and Portuguese—predominate.
  • B. Ibero-America
    Ibero-America is a cultural and linguistic region comprising the Spanish- and Portuguese-speaking countries of the Americas, along with the Iberian nations of Spain and Portugal.
  • C. South America
    South America is a vast, predominantly Spanish- and Portuguese-speaking continent in the Western Hemisphere known for the Amazon rainforest, Andes Mountains, and rich cultural and ecological diversity.
  • D. Las Américas
    Las Américas is a bus rapid transit station on Line 2 of Mexico City’s Metrobús system, serving passengers in the surrounding urban area.
  • E. Inframérica
    Inframérica is a Brazilian airport concessionaire company known for managing and operating major airports such as Greater Natal International Airport.
  • 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_69f17dd2005081909baef070124eb839 completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:34 p.m.