Triple
T7025990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenkodogo |
E162947
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | Burkina Faso |
E42862
|
NE 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: Burkina Faso | Statement: [Tenkodogo, country, Burkina Faso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burkina Faso Context triple: [Tenkodogo, country, 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.
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.
-
C.
Benin
Benin is a West African country on the Gulf of Guinea known for its historical Kingdom of Dahomey and as a key region in the transatlantic slave trade.
-
D.
Tenkodogo, Burkina Faso
Tenkodogo is a historic town in eastern Burkina Faso, considered one of the country’s oldest settlements and an important regional center for the Gurma people.
-
E.
Côte d'Ivoire
Côte d'Ivoire is a West African country on the Gulf of Guinea known for its cocoa production, diverse cultures, and economic prominence in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fd6ab48190865271e16e8ff669 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c82754e9248190b86b05b61a4ae23c |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 2:35 p.m.