Triple
T19303165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Isabel do Rio Negro |
E482752
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Rio Negro |
—
|
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: Rio Negro | Statement: [Santa Isabel do Rio Negro, locatedOnRiver, Rio Negro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Negro Context triple: [Santa Isabel do Rio Negro, locatedOnRiver, Rio Negro]
-
A.
Rio Negro
chosen
Rio Negro is a major blackwater river in South America that flows through Colombia, Venezuela, and Brazil before joining the Amazon River.
-
B.
Rio Negro
Rio Negro is a river in southern Brazil that flows through the state of Santa Catarina and serves as an important regional waterway.
-
C.
Amazon River
The Amazon River is one of the world's longest and largest rivers by discharge, flowing across northern South America through the Amazon rainforest and into the Atlantic Ocean.
-
D.
Juruena River
The Juruena River is a major waterway in west-central Brazil that forms part of the upper Amazon basin and helps define the border between the states of Mato Grosso and Amazonas.
-
E.
Amazonas
Amazonas is a vast, sparsely populated state in southern Venezuela known for its dense Amazon rainforest, indigenous communities, and rich biodiversity.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c5903c819090b3f89c3f33b005 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.