Triple
T22726368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouçã Reservoir |
E562003
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Bouçã 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: Bouçã Dam | Statement: [Bouçã Reservoir, createdBy, Bouçã Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bouçã Dam Context triple: [Bouçã Reservoir, createdBy, Bouçã Dam]
-
A.
Bouçã Dam
chosen
Bouçã Dam is a hydroelectric dam and reservoir located on the Zêzere River in central Portugal.
-
B.
Alto Tâmega Dam
The Alto Tâmega Dam is a hydroelectric dam in northern Portugal that forms part of the Tâmega River energy and water management system.
-
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.
Porto Primavera Dam
Porto Primavera Dam is a large hydroelectric dam on the Paraná River in Brazil, known for its significant power generation capacity and role in regional water management.
-
E.
Carraízo Dam
Carraízo Dam is a major flood-control and water-supply structure in Puerto Rico that impounds the Loíza River to form the Carraízo Reservoir serving the San Juan metropolitan area.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1792a2ee48190bfbdde1a72adfd25 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.