Triple
T23307521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liptako-Gourma region |
E590491
|
entity |
| Predicate | spansCountry |
P5248
|
FINISHED |
| Object | Burkina Faso |
—
|
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: Burkina Faso | Statement: [Liptako-Gourma region, spansCountry, Burkina Faso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burkina Faso Context triple: [Liptako-Gourma region, spansCountry, Burkina Faso]
-
A.
Burkina Faso
chosen
Burkina Faso is a landlocked West African country known for its diverse cultures, Sahelian landscapes, and capital city, Ouagadougou.
-
B.
Min, Burkina Faso
Min, Burkina Faso is a small settlement located in the West African country of Burkina Faso.
-
C.
Mali
Mali is a village located on the island of New Ireland in Papua New Guinea.
-
D.
Mali
Mali is a landlocked West African country known for its historic trading cities like Timbuktu, rich Sahelian culture, and significant role in the ancient Mali Empire.
-
E.
Burkina Faso and Côte d'Ivoire
Burkina Faso and Côte d'Ivoire are neighboring West African countries that share a land border and have closely linked historical, cultural, and economic ties.
- 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_69f1972846fc819092ca2b9590b2e177 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.