Triple
T10905437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campeonato Baiano |
E257556
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Baianão
Baianão is the popular nickname for the Campeonato Baiano, the top professional football championship in the Brazilian state of Bahia.
|
E892451
|
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: Baianão | Statement: [Campeonato Baiano, alsoKnownAs, Baianão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baianão Context triple: [Campeonato Baiano, alsoKnownAs, Baianão]
-
A.
Baião
Baião is a Portuguese wine subregion within Vinho Verde, known for producing fresh, aromatic white wines, often from the Avesso grape.
-
B.
Alanzinho
Alanzinho is a Brazilian attacking midfielder known for his technical skill and creativity, who made a name for himself in European football, particularly in Norway and Turkey.
-
C.
Caicó
Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
-
D.
Areia Branca
Areia Branca is a municipality in the Brazilian state of Sergipe, known for its rural landscape and location along the Sergipe River.
-
E.
Caieiras
Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
- 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: Baianão Triple: [Campeonato Baiano, alsoKnownAs, Baianão]
Generated description
Baianão is the popular nickname for the Campeonato Baiano, the top professional football championship in the Brazilian state of Bahia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baianão Target entity description: Baianão is the popular nickname for the Campeonato Baiano, the top professional football championship in the Brazilian state of Bahia.
-
A.
Baião
Baião is a Portuguese wine subregion within Vinho Verde, known for producing fresh, aromatic white wines, often from the Avesso grape.
-
B.
Alanzinho
Alanzinho is a Brazilian attacking midfielder known for his technical skill and creativity, who made a name for himself in European football, particularly in Norway and Turkey.
-
C.
Caicó
Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
-
D.
Areia Branca
Areia Branca is a municipality in the Brazilian state of Sergipe, known for its rural landscape and location along the Sergipe River.
-
E.
Caieiras
Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770656c288190828e71600bb0acd4 |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155454890819087028a72ac2be8de |
completed | April 16, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69e1801dc2e8819099bc862705871761 |
completed | April 17, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1831802608190b5c3c5a4e8d8681a |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 8, 2026, 9:22 p.m.