Triple
T20014688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feijão com Arroz |
E494683
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Minas com Bahia
"Minas com Bahia" is a Brazilian song that blends musical influences from the states of Minas Gerais and Bahia, featured on the album "Feijão com Arroz."
|
E1407404
|
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: Minas com Bahia | Statement: [Feijão com Arroz, hasTrack, Minas com Bahia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minas com Bahia Context triple: [Feijão com Arroz, hasTrack, Minas com Bahia]
-
A.
Mineirinho
Mineirinho is a large indoor sports and entertainment arena located in Belo Horizonte, Brazil.
-
B.
Engenho de Dentro
Engenho de Dentro is a neighborhood in Rio de Janeiro, Brazil, known for hosting the Estádio Nilton Santos football stadium.
-
C.
Pedreiras
Pedreiras is a civil parish located within the municipality of Porto de Mós in central Portugal.
-
D.
Candeias
Candeias is a municipality in the state of Bahia, Brazil, known for its role in the petrochemical and industrial sector within the Salvador metropolitan area.
-
E.
Boca de Ouro
Boca de Ouro is a celebrated Brazilian play by Nelson Rodrigues that explores crime, obsession, and moral decay in mid-20th-century Rio de Janeiro.
- 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: Minas com Bahia Triple: [Feijão com Arroz, hasTrack, Minas com Bahia]
Generated description
"Minas com Bahia" is a Brazilian song that blends musical influences from the states of Minas Gerais and Bahia, featured on the album "Feijão com Arroz."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minas com Bahia Target entity description: "Minas com Bahia" is a Brazilian song that blends musical influences from the states of Minas Gerais and Bahia, featured on the album "Feijão com Arroz."
-
A.
Mineirinho
Mineirinho is a large indoor sports and entertainment arena located in Belo Horizonte, Brazil.
-
B.
Engenho de Dentro
Engenho de Dentro is a neighborhood in Rio de Janeiro, Brazil, known for hosting the Estádio Nilton Santos football stadium.
-
C.
Pedreiras
Pedreiras is a civil parish located within the municipality of Porto de Mós in central Portugal.
-
D.
Candeias
Candeias is a municipality in the state of Bahia, Brazil, known for its role in the petrochemical and industrial sector within the Salvador metropolitan area.
-
E.
Boca de Ouro
Boca de Ouro is a celebrated Brazilian play by Nelson Rodrigues that explores crime, obsession, and moral decay in mid-20th-century Rio de Janeiro.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623a9bd48190a3344a07540170c7 |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e233bf48190bb285e6a6f18915f |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080f393dc0819093fec526d1b51dac |
completed | May 16, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0810234a788190b329c55e553b365e |
completed | May 16, 2026, 6:35 a.m. |
Created at: April 11, 2026, 3:34 p.m.