Triple
T19548832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jirau Dam |
E489144
|
entity |
| Predicate | upstreamFrom |
P5955
|
FINISHED |
| Object | Santo Antônio Dam |
—
|
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: Santo Antônio Dam | Statement: [Jirau Dam, upstreamFrom, Santo Antônio Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santo Antônio Dam Context triple: [Jirau Dam, upstreamFrom, Santo Antônio Dam]
-
A.
Santo Antônio Dam
chosen
Santo Antônio Dam is a large hydroelectric power plant in Brazil, built on the Madeira River near Porto Velho to generate electricity as part of the Madeira River energy complex.
-
B.
Itaparica Dam
Itaparica Dam is a large hydroelectric dam and reservoir complex on Brazil’s São Francisco River, primarily used for power generation and water regulation.
-
C.
Teles Pires Dam
Teles Pires Dam is a large hydroelectric power facility on the Teles Pires River in Brazil, built to generate electricity as part of the country’s Amazon basin energy infrastructure.
-
D.
Xingó Dam
Xingó Dam is a large hydroelectric dam complex in northeastern Brazil that generates power and helps regulate the flow of the São Francisco River.
-
E.
Sobradinho Dam
Sobradinho Dam is a large hydroelectric and flood-control dam on Brazil’s São Francisco River, notable for creating one of the world’s largest artificial reservoirs.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2e5e588190ac3a6f612d4fb54b |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.