Triple
T31871951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tebu people |
E813627
|
entity |
| Predicate | primaryAreaInNiger |
—
|
GENERATED |
| Object | eastern Niger |
—
|
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: primaryAreaInNiger Context triple: [Tebu people, primaryAreaInNiger, eastern Niger]
-
A.
regionOfNigeria
Indicates that one entity is a geographic region that is part of, or located within, Nigeria.
-
B.
primaryRegionInBurkinaFaso
Indicates that a region is the main or primary administrative region associated with a given entity within Burkina Faso.
-
C.
hasAreaRankInNigeria
Indicates that one entity holds a specific rank in terms of area size within the context of Nigeria.
-
D.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
E.
majorStatesInNigeria
Indicates that the subject is one of the principal or most significant states within the country of Nigeria.
- F. None of above. chosen
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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:54 p.m.