Triple
T20332392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argeș River |
E492516
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Vidraru 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: Vidraru Dam | Statement: [Argeș River, hasDam, Vidraru Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vidraru Dam Context triple: [Argeș River, hasDam, Vidraru Dam]
-
A.
Vidraru Dam
chosen
Vidraru Dam is a major hydroelectric dam on the Argeș River in Romania, known for its impressive arch design and scenic location in the Făgăraș Mountains.
-
B.
Peligre Dam
Peligre Dam is a major hydroelectric and irrigation dam in central Haiti that forms Lake Péligre and plays a key role in the country’s power supply and water management.
-
C.
Daivões Dam
Daivões Dam is a hydroelectric dam located on Portugal’s Tâmega River, forming part of the Tâmega electroproduction system.
-
D.
Gotvand Dam
Gotvand Dam is a major rock-fill embankment dam in southwestern Iran, built on the Karun River for hydroelectric power generation, irrigation, and water regulation.
-
E.
Edea Dam
Edea Dam is a major hydroelectric power facility in Cameroon that harnesses the flow of the Sanaga River to generate electricity.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e886a08190952b828fedd2a411 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.