Triple
T10543401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Região Sul Fluminense |
E248752
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Barra do Piraí |
E808898
|
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: Barra do Piraí | Statement: [Região Sul Fluminense, majorCity, Barra do Piraí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barra do Piraí Context triple: [Região Sul Fluminense, majorCity, Barra do Piraí]
-
A.
Barra do Piraí
chosen
Barra do Piraí is a municipality in the state of Rio de Janeiro, Brazil, known for its riverside setting and regional agricultural and industrial activities.
-
B.
Jacareí
Jacareí is a municipality in southeastern Brazil known as part of the industrial and technological corridor within the state of São Paulo.
-
C.
São João da Barra
São João da Barra is a coastal municipality in the state of Rio de Janeiro, Brazil, known for its beaches and port activities.
-
D.
Parnamirim
Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
-
E.
Vale do Paraíba
Vale do Paraíba is a historically important industrial and agricultural valley region in southeastern Brazil, located between São Paulo and Rio de Janeiro along the Paraíba do Sul River.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d51911b10481909e6e548879e8de36 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9342e6cf48190b0ca53ff2a4e0214 |
completed | April 10, 2026, 5:32 p.m. |
Created at: April 6, 2026, 12:32 p.m.