Triple

T2689973
Position Surface form Disambiguated ID Type / Status
Subject Loíza E57575 entity
Predicate hasMusicTradition P526 FINISHED
Object Bomba
Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
 E291212 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: Bomba | Statement: [Loíza, hasMusicTradition, Bomba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bomba
Context triple: [Loíza, hasMusicTradition, Bomba]
  • A. Las Bombas
    Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
  • B. Nuke
    Nuke is the brash, hard-throwing rookie pitcher from the baseball film "Bull Durham," known for his wild talent and colorful personality.
  • C. Cim Bom
    Cim Bom is a popular nickname for Galatasaray SK, one of Turkey’s most successful and widely supported football clubs.
  • D. Biko
    "Biko" is a politically charged protest song by Peter Gabriel that commemorates South African anti-apartheid activist Steve Biko and helped raise global awareness of apartheid.
  • E. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • 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: Bomba
Triple: [Loíza, hasMusicTradition, Bomba]
Generated description
Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bomba
Target entity description: Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
  • A. Las Bombas
    Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
  • B. Nuke
    Nuke is the brash, hard-throwing rookie pitcher from the baseball film "Bull Durham," known for his wild talent and colorful personality.
  • C. Cim Bom
    Cim Bom is a popular nickname for Galatasaray SK, one of Turkey’s most successful and widely supported football clubs.
  • D. Biko
    "Biko" is a politically charged protest song by Peter Gabriel that commemorates South African anti-apartheid activist Steve Biko and helped raise global awareness of apartheid.
  • E. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • 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.