Triple
T15195190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Farka Touré |
E363120
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Bamako, Mali |
E69241
|
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: Bamako, Mali | Statement: [Ali Farka Touré, placeOfDeath, Bamako, Mali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamako, Mali Context triple: [Ali Farka Touré, placeOfDeath, Bamako, Mali]
-
A.
Bamako
chosen
Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
-
B.
Ouagadougou
Ouagadougou is the capital and largest city of Burkina Faso, serving as its political, economic, and cultural center in the Sahel region.
-
C.
Koulikoro
Koulikoro is a town and region in southwestern Mali, situated along the Niger River and serving as an important administrative and transport hub.
-
D.
Koudougou
Koudougou is a major city in central Burkina Faso known as an important commercial and transportation hub.
-
E.
Sikasso
Sikasso is a major city in southern Mali known as an important agricultural and commercial center near the borders with Burkina Faso and Côte d'Ivoire.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067eb710819085211fd05d5fa5f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa92b99c48190b76e1306cf32a568 |
completed | May 9, 2026, 9:37 p.m. |
Created at: April 10, 2026, 3:10 a.m.