Triple
T23299240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyeri County |
E590255
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | Naro Moru |
—
|
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: Naro Moru | Statement: [Nyeri County, hasUrbanCenter, Naro Moru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naro Moru Context triple: [Nyeri County, hasUrbanCenter, Naro Moru]
-
A.
Naro Moru
chosen
Naro Moru is a small town in central Kenya commonly used as a base for treks and climbs on Mount Kenya.
-
B.
Amanuma
Amanuma is a neighborhood within Tokyo’s Suginami ward, known as a primarily residential area with local shops and convenient access to central Tokyo.
-
C.
Naro
Naro are an indigenous Khoisan-speaking people of southern Africa, known for their click-rich Naro language and traditional hunter-gatherer heritage.
-
D.
Naro
Naro is an Italian surname historically associated with noble and ecclesiastical families, including prominent figures in the Catholic Church.
-
E.
Moriusaq
Moriusaq is a tiny, remote settlement in northwestern Greenland known for its extreme isolation and near-abandonment.
- 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.