Triple
T12084491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale do Rio dos Sinos |
E287770
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Dois Irmãos
Dois Irmãos is a municipality in the state of Rio Grande do Sul in southern Brazil, known for its German immigrant heritage and scenic hilly landscapes.
|
E967465
|
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: Dois Irmãos | Statement: [Vale do Rio dos Sinos, contains, Dois Irmãos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dois Irmãos Context triple: [Vale do Rio dos Sinos, contains, Dois Irmãos]
-
A.
Dois Irmãos
Dois Irmãos is a neighborhood in the city of Recife, Brazil, known for its green areas and proximity to the Dois Irmãos State Park and zoo.
-
B.
Dois Unidos
Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
C.
Três Pontões
Três Pontões is a locality in the Brazilian state of Espírito Santo, known for its rural landscape and proximity to distinctive rocky formations.
-
D.
Baião
Baião is a Portuguese wine subregion within Vinho Verde, known for producing fresh, aromatic white wines, often from the Avesso grape.
-
E.
Ourinhos
Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
- 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: Dois Irmãos Triple: [Vale do Rio dos Sinos, contains, Dois Irmãos]
Generated description
Dois Irmãos is a municipality in the state of Rio Grande do Sul in southern Brazil, known for its German immigrant heritage and scenic hilly landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dois Irmãos Target entity description: Dois Irmãos is a municipality in the state of Rio Grande do Sul in southern Brazil, known for its German immigrant heritage and scenic hilly landscapes.
-
A.
Dois Irmãos
Dois Irmãos is a neighborhood in the city of Recife, Brazil, known for its green areas and proximity to the Dois Irmãos State Park and zoo.
-
B.
Dois Unidos
Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
C.
Três Pontões
Três Pontões is a locality in the Brazilian state of Espírito Santo, known for its rural landscape and proximity to distinctive rocky formations.
-
D.
Baião
Baião is a Portuguese wine subregion within Vinho Verde, known for producing fresh, aromatic white wines, often from the Avesso grape.
-
E.
Ourinhos
Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91513bbb0819084a8bb877e03060c |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f666bf1c819089de1235617e775b |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f60335285c819089f69472b2e48130 |
completed | May 2, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60410ce0481908b2deb7522a3ec00 |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 8, 2026, 9:48 p.m.