Triple
T12520487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorky Hydroelectric Station |
E299300
|
entity |
| Predicate | turbineType |
P11311
|
FINISHED |
| Object | Kaplan turbine |
E373525
|
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: Kaplan turbine | Statement: [Gorky Hydroelectric Station, turbineType, Kaplan turbine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaplan turbine Context triple: [Gorky Hydroelectric Station, turbineType, Kaplan turbine]
-
A.
Francis turbine
A Francis turbine is a widely used reaction water turbine designed for medium-head hydroelectric power generation, known for its high efficiency and suitability for large dams.
-
B.
Kaplan turbines
chosen
Kaplan turbines are adjustable-blade water turbines commonly used in low-head hydroelectric power plants to efficiently generate electricity from large volumes of flowing water.
-
C.
Turbina
Turbina is a small genus of flowering plants in the morning glory family, known for its twining vines and showy, funnel-shaped blooms.
-
D.
Pelton
Pelton is the surname of Dean Craig Pelton, the eccentric and theatrically inclined dean from the television series "Community."
-
E.
Voith
Voith is a German multinational engineering company known for its technologies and services in sectors such as energy, paper, raw materials, and transportation.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545b2b2481909049a490c97678f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbf43e08190ae79f92ed5882ce2 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.