Triple

T8652152
Position Surface form Disambiguated ID Type / Status
Subject Odisea E205124 entity
Predicate hasTrack P3284 FINISHED
Object Luz Apagá
"Luz Apagá" is a song by Puerto Rican artist Ozuna from his acclaimed reggaeton and Latin trap album "Odisea."
 E748567 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: Luz Apagá | Statement: [Odisea, hasTrack, Luz Apagá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luz Apagá
Context triple: [Odisea, hasTrack, Luz Apagá]
  • A. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • B. The Lights
    The Lights is the popular nickname for Blackpool Illuminations, the famous annual seaside light festival that transforms the English resort town of Blackpool into a major nighttime attraction.
  • C. Luz e Sombra
    Luz e Sombra is a conceptual artwork by Brazilian artist Regina Silveira that explores light, shadow, and perception through bold, illusionistic visual interventions.
  • D. Kill the Lights
    Kill the Lights is a country music studio album by American singer Luke Bryan, known for its chart-topping singles and commercial success.
  • E. Estela de Luz
    Estela de Luz is a modern commemorative monument in Mexico City, known for its tall, illuminated quartz-clad structure symbolizing national identity and remembrance.
  • 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: Luz Apagá
Triple: [Odisea, hasTrack, Luz Apagá]
Generated description
"Luz Apagá" is a song by Puerto Rican artist Ozuna from his acclaimed reggaeton and Latin trap album "Odisea."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luz Apagá
Target entity description: "Luz Apagá" is a song by Puerto Rican artist Ozuna from his acclaimed reggaeton and Latin trap album "Odisea."
  • A. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • B. The Lights
    The Lights is the popular nickname for Blackpool Illuminations, the famous annual seaside light festival that transforms the English resort town of Blackpool into a major nighttime attraction.
  • C. Luz e Sombra
    Luz e Sombra is a conceptual artwork by Brazilian artist Regina Silveira that explores light, shadow, and perception through bold, illusionistic visual interventions.
  • D. Kill the Lights
    Kill the Lights is a country music studio album by American singer Luke Bryan, known for its chart-topping singles and commercial success.
  • E. Estela de Luz
    Estela de Luz is a modern commemorative monument in Mexico City, known for its tall, illuminated quartz-clad structure symbolizing national identity and remembrance.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc484051b48190b1d0cc63426c204d completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccd1d7f88190a5440581325eac63 completed April 2, 2026, 8:08 p.m.
NEDg Description generation batch_69cece8c4bdc8190988990c675f50f86 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf3a0e78819082cc7c43eceae309 completed April 2, 2026, 8:19 p.m.
Created at: March 30, 2026, 6:29 p.m.