Triple
T22747923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sual |
E562604
|
entity |
| Predicate | hasPowerPlant |
P9904
|
FINISHED |
| Object | Sual Power Station |
—
|
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: Sual Power Station | Statement: [Sual, hasPowerPlant, Sual Power Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sual Power Station Context triple: [Sual, hasPowerPlant, Sual Power Station]
-
A.
Sual Power Station
chosen
Sual Power Station is a large coal-fired power plant in the Philippines and one of the country’s major sources of electricity.
-
B.
Olidan power station
Olidan power station is one of Sweden’s oldest large-scale hydroelectric power plants, located in Trollhättan and historically important for the country’s industrial electrification.
-
C.
Joun power station
Joun power station is a hydroelectric power facility in Lebanon that harnesses the flow of the Litani River to generate electricity.
-
D.
Polpitiya Power Station
Polpitiya Power Station is a hydroelectric power plant in Sri Lanka that harnesses the flow of the Kelani River to generate electricity for the national grid.
-
E.
Kiira Power Station
Kiira Power Station is a major hydroelectric power plant on the Nile River in Uganda that significantly contributes to the country’s electricity generation.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b702388190b134dde5f80ea3cd |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.