Triple
T30966250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BFA |
E788964
|
entity |
| Predicate | hasCountryNameFrench |
—
|
GENERATED |
| Object | Burkina Faso |
—
|
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: hasCountryNameFrench Context triple: [BFA, hasCountryNameFrench, Burkina Faso]
-
A.
hasOfficialFrenchName
Indicates that an entity possesses an officially recognized name in the French language.
-
B.
isFrancophoneCounterpartOf
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
-
C.
nameInFrench
chosen
Indicates that an entity is known or referred to by a specific name expressed in the French language.
-
D.
countryNameShortFrench
Indicates that an entity has a short-form country name expressed in the French language.
-
E.
recognizedAsFrenchBy
Indicates that an entity is regarded or acknowledged as French by a specified agent or group.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:54 p.m.