Triple
T14220207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabor River |
E352468
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Baixo Sabor Dam |
E792448
|
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: Baixo Sabor Dam | Statement: [Sabor River, hasDam, Baixo Sabor Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baixo Sabor Dam Context triple: [Sabor River, hasDam, Baixo Sabor Dam]
-
A.
Guavio Dam
Guavio Dam is a major hydroelectric dam in Colombia known for its large reservoir and significant contribution to the country’s power generation.
-
B.
Barra Bonita Dam
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.
-
C.
Jirau Dam
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.
-
D.
Gouvães Dam
chosen
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.
-
E.
Baipaza Dam
Baipaza Dam is a major hydroelectric dam in Tajikistan that harnesses the Vakhsh River to generate power and support regional water management.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6213801c8190a47705cd890b9ae7 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55008a5c8190b005a12df7ef2f75 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:06 a.m.