Triple
T13528688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debinha |
E323076
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Brasópolis |
E1044668
|
NE FINISHED |
How this triple was built (2 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: Brasópolis | Statement: [Debinha, placeOfBirth, Brasópolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brasópolis Context triple: [Debinha, placeOfBirth, Brasópolis]
-
A.
Brasópolis
chosen
Brasópolis is a municipality in the state of Minas Gerais, Brazil, known for its mountainous landscapes and proximity to the Mantiqueira mountain range.
-
B.
Ribeirópolis
Ribeirópolis is a municipality in the Brazilian state of Sergipe, located in the semi-arid Sertão region and known for its agricultural activities and small-town character.
-
C.
Morrinhos
Morrinhos is a municipality in the Brazilian state of Goiás, known for its agricultural economy and regional thermal springs.
-
D.
Duas Barras
Duas Barras is a small municipality in the mountainous interior of Rio de Janeiro state in southeastern Brazil.
-
E.
Mourão
Mourão is a small municipality in Portugal’s Alentejo region, known for its historic castle and proximity to the Alqueva Reservoir.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f84935c8190b9e41f44140066e5 |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:44 p.m.