Triple
T15985471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakuru County |
E387680
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lake Nakuru |
E405320
|
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: Lake Nakuru | Statement: [Nakuru County, contains, Lake Nakuru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Nakuru Context triple: [Nakuru County, contains, Lake Nakuru]
-
A.
Lake Nakuru
chosen
Lake Nakuru is a shallow alkaline lake in Kenya’s Rift Valley, famed for its large populations of flamingos and diverse wildlife within Lake Nakuru National Park.
-
B.
Lake Bogoria
Lake Bogoria is a saline, alkaline lake in Kenya’s Rift Valley famous for its hot springs, geysers, and large flocks of flamingos.
-
C.
Lake Manyara National Park
Lake Manyara National Park is a scenic Tanzanian reserve famed for its tree-climbing lions, large flocks of flamingos, and diverse habitats ranging from alkaline lake shores to groundwater forests.
-
D.
Amboseli Basin
Amboseli Basin is a broad, low-lying depression in southern Kenya known for its seasonal wetlands and salt pans that attract large concentrations of wildlife within the Amboseli ecosystem.
-
E.
Lake Naivasha
Lake Naivasha is a freshwater lake in Kenya’s Great Rift Valley, renowned for its rich birdlife, hippo populations, and surrounding flower farms and wildlife conservancies.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157589d78819091f7b9b1081dd6ad |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1abad48190a42510605c30d0b3 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.