Triple
T38505249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luo community |
E921745
|
entity |
| Predicate | countryOfSignificantPresence |
—
|
GENERATED |
| Object | Kenya |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfSignificantPresence Context triple: [Luo community, countryOfSignificantPresence, Kenya]
-
A.
countryOrRegionOfPrevalence
Indicates the country or geographic region where something (such as a condition, practice, or phenomenon) is most commonly found or occurs most frequently.
-
B.
countryWithSignificantPopulation
chosen
Indicates that a country has a notably large or impactful number of people, relative to some defined threshold or comparison set.
-
C.
countrySignificance
Indicates the degree of importance, influence, or relevance that one country holds in relation to another entity or context.
-
D.
countryOfCulturalSignificance
Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
-
E.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
- F. None of above.
Provenance (1 batch)
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_69f76ea3c5448190aa7002fc1ba3f874 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:32 p.m.