Triple
T19449007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santo Antônio Dam |
E486561
|
entity |
| Predicate | locatedUpstreamFrom |
P5955
|
FINISHED |
| Object | Jirau 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: Jirau Dam | Statement: [Santo Antônio Dam, locatedUpstreamFrom, Jirau Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jirau Dam Context triple: [Santo Antônio Dam, locatedUpstreamFrom, Jirau Dam]
-
A.
Jirau Dam
chosen
Jirau Dam is a large hydroelectric power plant in Brazil, built on the Madeira River as part of the country’s major Amazon basin energy infrastructure.
-
B.
Shiroro Dam
Shiroro Dam is a major hydroelectric power facility on the Kaduna River in Niger State, Nigeria, supplying electricity and supporting water management in the region.
-
C.
Lodoyo Dam
Lodoyo Dam is a water control and irrigation structure located on the Brantas River in East Java, Indonesia.
-
D.
Pubugou Dam
Pubugou Dam is a large hydroelectric gravity dam in Sichuan, China, known for its significant power generation capacity and its role in flood control and regional development along the Dadu River.
-
E.
Tilaiya Dam
Tilaiya Dam is a multipurpose masonry dam in Jharkhand, India, built as part of the Damodar Valley Corporation project to provide hydroelectric power, irrigation, and flood control.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338be5a48190973d9ecae853900c |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.