Triple
T22991619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flávio Dino |
E572062
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | São Luís, Maranhão |
—
|
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: São Luís, Maranhão | Statement: [Flávio Dino, residence, São Luís, Maranhão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Luís, Maranhão Context triple: [Flávio Dino, residence, São Luís, Maranhão]
-
A.
São Luís
chosen
São Luís is the historic capital of the Brazilian state of Maranhão, known for its well-preserved colonial architecture and rich Afro-Brazilian cultural heritage.
-
B.
São Luís
São Luís is a civil parish in the municipality of Odemira, located in Portugal’s Alentejo region.
-
C.
Belém do Pará
Belém do Pará is a major port city in northern Brazil, known as the gateway to the Amazon region and an important cultural and economic center.
-
D.
São Salvador da Bahia de Todos os Santos
São Salvador da Bahia de Todos os Santos is the historical name of Salvador, the colonial-era capital of Portuguese Brazil and one of the oldest and most culturally significant cities in the country.
-
E.
Belém
Belém is a historic riverside district of Lisbon, Portugal, known for its monuments of the Age of Discoveries, including the Belém Tower and Jerónimos Monastery.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182eefd688190853977421540b2ce |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.