Triple
T22885403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anderson Varejão |
E567590
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Colatina, Espírito Santo, Brazil |
—
|
NE NERFINISHED |
How this triple was built (3 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: Colatina, Espírito Santo, Brazil | Statement: [Anderson Varejão, placeOfBirth, Colatina, Espírito Santo, Brazil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colatina, Espírito Santo, Brazil Context triple: [Anderson Varejão, placeOfBirth, Colatina, Espírito Santo, Brazil]
-
A.
Serrana Region of Espírito Santo
The Serrana Region of Espírito Santo is a mountainous inland area of the Brazilian state of Espírito Santo, known for its cooler climate, Atlantic Forest landscapes, and towns with strong European cultural influences.
-
B.
Ceará-Mirim, Brazil
Ceará-Mirim is a municipality in the state of Rio Grande do Norte in northeastern Brazil, known for its sugarcane plantations, colonial-era architecture, and proximity to the state capital, Natal.
-
C.
Nova Lima, Brazil
Nova Lima is a city in the state of Minas Gerais, Brazil, known for its mining heritage, affluent residential areas, and proximity to the state capital Belo Horizonte.
-
D.
Southeast Region of Brazil
The Southeast Region of Brazil is the country’s most populous and economically developed area, encompassing major states and cities such as São Paulo, Rio de Janeiro, and Minas Gerais.
-
E.
South Region of Brazil
The South Region of Brazil is the country’s smallest and one of its most developed regions, known for its strong European cultural influences, temperate climate, and major cities like Porto Alegre and Curitiba.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colatina, Espírito Santo, Brazil Target entity description: Colatina is a mid-sized city in the Brazilian state of Espírito Santo, known as an inland commercial hub and the birthplace of NBA player Anderson Varejão.
-
A.
Serrana Region of Espírito Santo
The Serrana Region of Espírito Santo is a mountainous inland area of the Brazilian state of Espírito Santo, known for its cooler climate, Atlantic Forest landscapes, and towns with strong European cultural influences.
-
B.
Ceará-Mirim, Brazil
Ceará-Mirim is a municipality in the state of Rio Grande do Norte in northeastern Brazil, known for its sugarcane plantations, colonial-era architecture, and proximity to the state capital, Natal.
-
C.
Nova Lima, Brazil
Nova Lima is a city in the state of Minas Gerais, Brazil, known for its mining heritage, affluent residential areas, and proximity to the state capital Belo Horizonte.
-
D.
Southeast Region of Brazil
The Southeast Region of Brazil is the country’s most populous and economically developed area, encompassing major states and cities such as São Paulo, Rio de Janeiro, and Minas Gerais.
-
E.
South Region of Brazil
The South Region of Brazil is the country’s smallest and one of its most developed regions, known for its strong European cultural influences, temperate climate, and major cities like Porto Alegre and Curitiba.
- F. None of above. chosen
Provenance (2 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc0cdb081908107d40069d9735f |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.