Triple
T11229401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Litani River |
E265781
|
entity |
| Predicate | hydroelectricPlant |
P9904
|
FINISHED |
| Object | Awali power station |
E912599
|
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: Awali power station | Statement: [Litani River, hydroelectricPlant, Awali power station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awali power station Context triple: [Litani River, hydroelectricPlant, Awali power station]
-
A.
Uri I Power Station
Uri I Power Station is a major hydroelectric power facility in Jammu and Kashmir, India, utilizing water from the Jhelum River to generate electricity.
-
B.
Markaba power station
chosen
Markaba power station is a hydroelectric facility in Lebanon that harnesses the flow of the Litani River to generate electricity.
-
C.
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.
-
D.
Duvha Power Station
Duvha Power Station is a large coal-fired power plant in South Africa that forms part of Eskom’s fleet supplying electricity to the national grid.
-
E.
Vamma power station
Vamma power station is a major hydroelectric power plant in Norway, harnessing the flow of the Glomma River to generate renewable energy.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e900fbcc8190a3177f8a73564433 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc4c630c8190a5e43c2108dfb50d |
completed | April 19, 2026, 12:36 p.m. |
Created at: April 8, 2026, 9:30 p.m.