Triple
T14624754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Kariba |
E343316
|
entity |
| Predicate | formedBy |
P972
|
FINISHED |
| Object | Kariba Dam |
E343315
|
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: Kariba Dam | Statement: [Lake Kariba, formedBy, Kariba Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kariba Dam Context triple: [Lake Kariba, formedBy, Kariba Dam]
-
A.
Kariba Dam
chosen
Kariba Dam is a massive hydroelectric dam on the Zambezi River between Zambia and Zimbabwe, forming one of the world’s largest man-made lakes and serving as a key source of power for the region.
-
B.
Batoka Gorge
Batoka Gorge is a steep, rugged chasm carved by the Zambezi River just downstream of Victoria Falls on the border between Zambia and Zimbabwe.
-
C.
Kafue Gorge Dam
Kafue Gorge Dam is a major hydroelectric power facility on the Kafue River in Zambia, providing a significant portion of the country’s electricity supply.
-
D.
Diama Dam
Diama Dam is a low-head dam on the lower Senegal River near the Senegal–Mauritania border, built primarily to prevent saltwater intrusion and support irrigation and navigation in the region.
-
E.
Roseires Dam
Roseires Dam is a major hydroelectric and irrigation dam on the Blue Nile in Sudan, crucial for water storage, power generation, and flood control in the region.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b40633481909882645f73d3e2c6 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:26 a.m.