Triple
T19303203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Isabel do Rio Negro |
E482752
|
entity |
| Predicate | belongsTo |
P35
|
FINISHED |
| Object | Amazonas mesoregion |
—
|
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: Amazonas mesoregion | Statement: [Santa Isabel do Rio Negro, belongsTo, Amazonas mesoregion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazonas mesoregion Context triple: [Santa Isabel do Rio Negro, belongsTo, Amazonas mesoregion]
-
A.
Mesoregion of Lower Amazon
The Mesoregion of Lower Amazon is an administrative and geographic region in the western part of Brazil’s Pará state, centered around the city of Santarém and encompassing areas along the lower course of the Amazon River.
-
B.
Centro-Sul Paranaense
Centro-Sul Paranaense is a geographic region in the state of Paraná, Brazil, encompassing cities such as Guarapuava and characterized by its mixed agricultural and urban development.
-
C.
Amazonas Region
Amazonas Region is a mountainous and forested administrative region in northern Peru known for its cloud forests, archaeological sites like Kuélap, and rich indigenous cultures.
-
D.
Pará
Pará is a large state in northern Brazil known for its Amazon rainforest, rich biodiversity, and the major port city of Belém.
-
E.
Brazilian Midwest
The Brazilian Midwest is a vast inland region of Brazil known for its agricultural production, the Pantanal wetlands, and major cities such as Cuiabá, Goiânia, and Brasília.
- 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: Amazonas mesoregion Target entity description: The Amazonas mesoregion is a large administrative and geographic subdivision in the Brazilian state of Amazonas, encompassing vast areas of rainforest and sparsely populated municipalities.
-
A.
Mesoregion of Lower Amazon
The Mesoregion of Lower Amazon is an administrative and geographic region in the western part of Brazil’s Pará state, centered around the city of Santarém and encompassing areas along the lower course of the Amazon River.
-
B.
Centro-Sul Paranaense
Centro-Sul Paranaense is a geographic region in the state of Paraná, Brazil, encompassing cities such as Guarapuava and characterized by its mixed agricultural and urban development.
-
C.
Amazonas Region
Amazonas Region is a mountainous and forested administrative region in northern Peru known for its cloud forests, archaeological sites like Kuélap, and rich indigenous cultures.
-
D.
Pará
Pará is a large state in northern Brazil known for its Amazon rainforest, rich biodiversity, and the major port city of Belém.
-
E.
Brazilian Midwest
The Brazilian Midwest is a vast inland region of Brazil known for its agricultural production, the Pantanal wetlands, and major cities such as Cuiabá, Goiânia, and Brasília.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c5903c819090b3f89c3f33b005 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.