Triple
T20937873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gravataí River |
E515633
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Alvorada |
—
|
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: Alvorada | Statement: [Gravataí River, passesThrough, Alvorada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvorada Context triple: [Gravataí River, passesThrough, Alvorada]
-
A.
Bela Vista
Bela Vista is a central São Paulo neighborhood known for its strong Italian heritage, vibrant cultural scene, and numerous restaurants and theaters.
-
B.
Bela Vista
Bela Vista is a settlement located on the island and municipality of São Vicente in Cape Verde.
-
C.
Rosário
Rosário is a municipality in the Brazilian state of Maranhão, known for its regional culture and role in the state's interior.
-
D.
Encarnação
Encarnação is a civil parish in the municipality of Mafra, Portugal, known for its rural character and proximity to the Atlantic coast.
-
E.
Canoas
chosen
Canoas is a major industrial and residential city in the Porto Alegre metropolitan region of Rio Grande do Sul, Brazil.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f9534cd48190a86665fb1df6b077 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.