Triple
T23299212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyeri County |
E590255
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Murang’a 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: Murang’a County | Statement: [Nyeri County, borders, Murang’a County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murang’a County Context triple: [Nyeri County, borders, Murang’a County]
-
A.
Murang’a County
chosen
Murang’a County is an agricultural county in Kenya’s central region, known historically as part of the Kikuyu heartland and for its tea and coffee farming.
-
B.
Meru County
Meru County is an administrative region in eastern Kenya known for its fertile highlands, agricultural production, and proximity to Mount Kenya.
-
C.
Wanju County
Wanju County is a largely rural administrative region in South Korea known for its agriculture and proximity to the city of Jeonju.
-
D.
Makueni County
Makueni County is a semi-arid administrative region in southeastern Kenya known for its agriculture, water-scarcity challenges, and location along key transport and river basins.
-
E.
Magwi County
Magwi County is an administrative region in Eastern Equatoria State in South Sudan, bordering Uganda and known for including the important border town of Nimule.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d133448190bf350a9f51c1531c |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.