Triple
T13628913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guapimirim River |
E325661
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Rio Guapimirim |
E778552
|
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: Rio Guapimirim | Statement: [Guapimirim River, hasNameInLanguage, Rio Guapimirim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Guapimirim Context triple: [Guapimirim River, hasNameInLanguage, Rio Guapimirim]
-
A.
Rio Guapimirim
chosen
Rio Guapimirim is a river in the state of Rio de Janeiro, Brazil, that flows through the municipality of Guapimirim and forms part of the Guanabara Bay watershed.
-
B.
Iapó River
The Iapó River is a watercourse in the Brazilian state of Paraná known for flowing through scenic canyons and supporting nearby municipalities such as Castro.
-
C.
Rio Taunay
Rio Taunay is a river in Rio de Janeiro, Brazil, known for feeding the scenic Cascatinha Taunay waterfall in the Tijuca Forest.
-
D.
Araguari River
The Araguari River is a significant waterway in central Brazil that flows through the state of Minas Gerais and contributes to the Paraná River basin.
-
E.
Rio Itapemirim
Rio Itapemirim is a river in southeastern Brazil that flows through the state of Espírito Santo to the Atlantic Ocean, supporting regional agriculture and local communities.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9d803481908101def32817b0eb |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7cfcf748190944ffea7582d4f66 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 9:51 p.m.