Triple
T21054038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tana River County |
E518662
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Kitui County |
—
|
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: Kitui County | Statement: [Tana River County, borders, Kitui County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitui County Context triple: [Tana River County, borders, Kitui County]
-
A.
Kitui County
chosen
Kitui County is a semi-arid administrative region in eastern Kenya known for its rural economy, coal deposits, and location between the coastal and central highland areas.
-
B.
Kiambu County
Kiambu County is a largely peri-urban and agricultural county in central Kenya, bordering Nairobi and forming part of the greater Nairobi metropolitan area.
-
C.
Kisumu County
Kisumu County is a county in western Kenya along Lake Victoria, known as a major economic and political hub and the location of the city of Kisumu.
-
D.
Nyandarua County
Nyandarua County is an administrative region in central Kenya known for its highland agriculture and proximity to the Aberdare Range.
-
E.
Nakuru County
Nakuru County is a region in Kenya’s Rift Valley known for its lakes, wildlife, and agricultural activities.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7e087c81908712ddc63e8b1e6c |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:36 p.m.