Triple
T19564050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baishan Dam |
E489531
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Baishan Hydropower Station |
—
|
NE NERFINISHED |
How this triple was built (3 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: Baishan Hydropower Station | Statement: [Baishan Dam, alsoKnownAs, Baishan Hydropower Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baishan Hydropower Station Context triple: [Baishan Dam, alsoKnownAs, Baishan Hydropower Station]
-
A.
Shuangjiangkou Dam
Shuangjiangkou Dam is a major hydroelectric dam project in China, known for being one of the tallest and most powerful hydropower installations in the country.
-
B.
Bailongjiang Hydropower facilities
Bailongjiang Hydropower facilities are a series of hydroelectric power stations built along the Bailong River in China to generate electricity and support regional energy needs.
-
C.
Xiangjiaba Dam
Xiangjiaba Dam is a major hydroelectric gravity dam in southwest China, known for its large installed capacity and role in generating power and regulating flow on the upper Yangtze River.
-
D.
Xiluodu Dam
Xiluodu Dam is a major arch dam and one of China’s largest hydroelectric power stations, built on the Jinsha (upper Yangtze) River to generate electricity and aid flood control.
-
E.
Dagangshan Dam
Dagangshan Dam is a large concrete arch dam and hydroelectric power station in Sichuan, China, known for harnessing the Dadu River to generate significant renewable energy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baishan Hydropower Station Target entity description: Baishan Hydropower Station is a major hydroelectric facility in northeastern China that generates power using the Baishan Dam on the Second Songhua River.
-
A.
Shuangjiangkou Dam
Shuangjiangkou Dam is a major hydroelectric dam project in China, known for being one of the tallest and most powerful hydropower installations in the country.
-
B.
Bailongjiang Hydropower facilities
Bailongjiang Hydropower facilities are a series of hydroelectric power stations built along the Bailong River in China to generate electricity and support regional energy needs.
-
C.
Xiangjiaba Dam
Xiangjiaba Dam is a major hydroelectric gravity dam in southwest China, known for its large installed capacity and role in generating power and regulating flow on the upper Yangtze River.
-
D.
Xiluodu Dam
Xiluodu Dam is a major arch dam and one of China’s largest hydroelectric power stations, built on the Jinsha (upper Yangtze) River to generate electricity and aid flood control.
-
E.
Dagangshan Dam
Dagangshan Dam is a large concrete arch dam and hydroelectric power station in Sichuan, China, known for harnessing the Dadu River to generate significant renewable energy.
- F. None of above. chosen
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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f75b2d481909fa3f603fe6bd5bd |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.