Triple
T22309051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Tietê |
E551463
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Barra Bonita 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: Barra Bonita Dam | Statement: [Rio Tietê, hasDam, Barra Bonita Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barra Bonita Dam Context triple: [Rio Tietê, hasDam, Barra Bonita Dam]
-
A.
Barra Bonita Dam
chosen
Barra Bonita Dam is a hydroelectric and navigation dam complex in the state of São Paulo, Brazil, known for regulating the Tietê River and forming the Barra Bonita Reservoir.
-
B.
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.
-
C.
Gouvães Dam
Gouvães Dam is a hydroelectric dam in northern Portugal that forms part of the Tâmega River energy complex, contributing to regional power generation and water management.
-
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.
São Simão Dam
São Simão Dam is a large hydroelectric power facility in Brazil known for generating electricity and forming the São Simão Reservoir on the Paranaíba River.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574c8a248190bf5eef5be78381fd |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.