Triple
T20937875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gravataí River |
E515633
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Viamão |
E659272
|
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: Viamão | Statement: [Gravataí River, passesThrough, Viamão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viamão Context triple: [Gravataí River, passesThrough, Viamão]
-
A.
Laranjeiras
Laranjeiras is a historic colonial-era city in the Brazilian state of Sergipe, known for its preserved architecture and rich Afro-Brazilian cultural traditions.
-
B.
Laranjeiras
Laranjeiras is a traditional residential neighborhood in Rio de Janeiro, Brazil, known for its historic architecture, tree-lined streets, and strong cultural and football heritage.
-
C.
Canoas
chosen
Canoas is a major industrial and residential city in the Porto Alegre metropolitan region of Rio Grande do Sul, Brazil.
-
D.
Conceição da Barra
Conceição da Barra is a coastal municipality in southeastern Brazil known for its beaches, mangroves, and traditional Afro-Brazilian culture.
-
E.
Rosário
Rosário is a municipality in the Brazilian state of Maranhão, known for its regional culture and role in the state's interior.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f9534cd48190a86665fb1df6b077 |
completed | April 21, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092783955c81909f89eb09ea681bda |
completed | May 17, 2026, 2:27 a.m. |
Created at: April 16, 2026, 12:50 p.m.