Triple
T26292832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurma people |
E661327
|
entity |
| Predicate | primaryRegionInBurkinaFaso |
P194976
|
FINISHED |
| Object | eastern Burkina Faso |
—
|
LITERAL FINISHED |
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: eastern Burkina Faso | Statement: [Gurma people, primaryRegionInBurkinaFaso, eastern Burkina Faso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRegionInBurkinaFaso Context triple: [Gurma people, primaryRegionInBurkinaFaso, eastern Burkina Faso]
-
A.
populationRankInBurkinaFaso
Indicates the relative position of an entity in terms of population size compared to other entities within Burkina Faso.
-
B.
SahelCountry
Indicates that a country is geographically located in, or commonly considered part of, the Sahel region of Africa.
-
C.
statusInBurkinaFaso
Indicates the legal, social, or official condition or standing that an entity has within the context of Burkina Faso.
-
D.
regionInGhana
Indicates that a specified region is geographically located within the country of Ghana.
-
E.
primaryLocationWithinGuinea-Bissau
Indicates that the primary or main location of an entity is situated within the geographic boundaries of Guinea-Bissau.
- F. None of above. chosen
Provenance (4 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69fd974c0e8481909fdd312897c647b3 |
completed | May 8, 2026, 7:57 a.m. |
Created at: April 26, 2026, 10:10 p.m.