Triple

T2689974
Position Surface form Disambiguated ID Type / Status
Subject Loíza E57575 entity
Predicate hasMusicTradition P526 FINISHED
Object Plena
Plena is a traditional Puerto Rican musical genre and folk song style known for its narrative lyrics and Afro-Caribbean rhythms.
 E291213 NE FINISHED

How this triple was built (4 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: Plena | Statement: [Loíza, hasMusicTradition, Plena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plena
Context triple: [Loíza, hasMusicTradition, Plena]
  • 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. Cajiqueño
    Cajiqueño is the Spanish demonym for a person from the Colombian municipality of Cajicá.
  • C. Reggaeton
    Reggaeton is a popular urban music genre that blends Latin rhythms, dancehall, hip-hop, and Caribbean influences, known for its distinctive dembow beat and widespread appeal across the Spanish-speaking world.
  • D. Forro
    Forro is a Portuguese-based creole language spoken primarily on the islands of São Tomé and Príncipe in the Gulf of Guinea.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Plena
Triple: [Loíza, hasMusicTradition, Plena]
Generated description
Plena is a traditional Puerto Rican musical genre and folk song style known for its narrative lyrics and Afro-Caribbean rhythms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Plena
Target entity description: Plena is a traditional Puerto Rican musical genre and folk song style known for its narrative lyrics and Afro-Caribbean rhythms.
  • 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. Cajiqueño
    Cajiqueño is the Spanish demonym for a person from the Colombian municipality of Cajicá.
  • C. Reggaeton
    Reggaeton is a popular urban music genre that blends Latin rhythms, dancehall, hip-hop, and Caribbean influences, known for its distinctive dembow beat and widespread appeal across the Spanish-speaking world.
  • D. Forro
    Forro is a Portuguese-based creole language spoken primarily on the islands of São Tomé and Príncipe in the Gulf of Guinea.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abda0ba2208190ad87763ecbef8c3c completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf5e85bc81908ba1b1968cfa440a completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afafddb2a081909b891eed7ba5411d completed March 10, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69afb10304488190a1129efae36b3c4e completed March 10, 2026, 5:49 a.m.
Created at: March 6, 2026, 9:54 p.m.