Triple
T366355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Latinoamericano |
E7967
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
El Latino
El Latino is the popular nickname of Estadio Latinoamericano, the iconic baseball stadium in Havana, Cuba.
|
E46013
|
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: El Latino | Statement: [Estadio Latinoamericano, hasNickname, El Latino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Latino Context triple: [Estadio Latinoamericano, hasNickname, El Latino]
-
A.
El Caminero
El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
-
B.
Fuego del Ande
Fuego del Ande is a musical work by Peruvian soprano Yma Sumac that showcases her extraordinary vocal range and Andean-influenced style.
-
C.
La Borinqueña
La Borinqueña is the official national anthem of Puerto Rico, celebrated for its patriotic lyrics and melody that honor the island’s history and identity.
-
D.
MAMACITA
"MAMACITA" is a 2020 Latin-influenced pop and reggaeton single by the Black Eyed Peas featuring Ozuna and J. Rey Soul.
-
E.
Miguel
Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric 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: El Latino Triple: [Estadio Latinoamericano, hasNickname, El Latino]
Generated description
El Latino is the popular nickname of Estadio Latinoamericano, the iconic baseball stadium in Havana, Cuba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Latino Target entity description: El Latino is the popular nickname of Estadio Latinoamericano, the iconic baseball stadium in Havana, Cuba.
-
A.
El Caminero
El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
-
B.
Fuego del Ande
Fuego del Ande is a musical work by Peruvian soprano Yma Sumac that showcases her extraordinary vocal range and Andean-influenced style.
-
C.
La Borinqueña
La Borinqueña is the official national anthem of Puerto Rico, celebrated for its patriotic lyrics and melody that honor the island’s history and identity.
-
D.
MAMACITA
"MAMACITA" is a 2020 Latin-influenced pop and reggaeton single by the Black Eyed Peas featuring Ozuna and J. Rey Soul.
-
E.
Miguel
Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe7d4d0819083daeb7686ae1914 |
completed | Feb. 28, 2026, 1:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e867bd50819083023e6021b784f4 |
completed | March 1, 2026, 7:19 a.m. |
| NEDg | Description generation | batch_69a3e8d3f88c8190b8ab2e9109bb7184 |
completed | March 1, 2026, 7:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3e97a2c6481909b2fdc596df0f522 |
completed | March 1, 2026, 7:23 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.