Triple
T22642861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zumbi dos Palmares |
E558877
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zumbi dos Palmares |
—
|
NE NERFINISHED |
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: Zumbi dos Palmares | Statement: [Zumbi dos Palmares, name, Zumbi dos Palmares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zumbi dos Palmares Context triple: [Zumbi dos Palmares, name, Zumbi dos Palmares]
-
A.
Zumbi dos Palmares
chosen
Zumbi dos Palmares was a 17th-century Afro-Brazilian leader and last chief of the Quilombo dos Palmares, symbolizing Black resistance to slavery in Brazil.
-
B.
Zumbi
Zumbi is a neighborhood in the city of Recife, Brazil.
-
C.
Zumbi
Zumbi is a small town in southeastern Ecuador that serves as an administrative and commercial center in the Amazonian region of Zamora-Chinchipe.
-
D.
Martim Afonso de Sousa
Martim Afonso de Sousa was a 16th-century Portuguese nobleman, navigator, and colonial administrator who led early expeditions to Brazil and helped establish Portugal’s colonial presence there.
-
E.
Tiradentes
Tiradentes is a small historic town in southeastern Brazil renowned for its well-preserved colonial architecture and baroque churches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703577948190ae044df4f8500bfe |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:04 p.m.