Triple

T8428080
Position Surface form Disambiguated ID Type / Status
Subject ¿Dónde Están los Ladrones? E199051 entity
Predicate hasPart P35 FINISHED
Object Si Te Vas
"Si Te Vas" is a Spanish-language pop-rock song by Colombian singer-songwriter Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
E731891 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: Si Te Vas | Statement: [¿Dónde Están los Ladrones?, hasPart, Si Te Vas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Si Te Vas
Context triple: [¿Dónde Están los Ladrones?, hasPart, Si Te Vas]
  • A. Si No Te Quiere
    "Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
  • 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. Porque te vas
    "Porque te vas" is a popular Spanish pop song, best known internationally for its prominent use in Carlos Saura’s 1976 film "Cría cuervos."
  • D. Te Amo
    "Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
  • E. 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.
  • 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: Si Te Vas
Triple: [¿Dónde Están los Ladrones?, hasPart, Si Te Vas]
Generated description
"Si Te Vas" is a Spanish-language pop-rock song by Colombian singer-songwriter Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Si Te Vas
Target entity description: "Si Te Vas" is a Spanish-language pop-rock song by Colombian singer-songwriter Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
  • A. Si No Te Quiere
    "Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
  • 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. Porque te vas
    "Porque te vas" is a popular Spanish pop song, best known internationally for its prominent use in Carlos Saura’s 1976 film "Cría cuervos."
  • D. Te Amo
    "Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
  • E. 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.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd124378c819086ea2fa6ecbfffe1 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce036dec9481908564ea2828ea429b completed April 2, 2026, 5:49 a.m.
NEDg Description generation batch_69ce07846da48190aa89b1c185dfcd11 completed April 2, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69ce08a5d2988190a64822214b69a223 completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:07 p.m.