Triple
T15245685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bambara people |
E364373
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Bambara language |
E28452
|
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: Bambara language | Statement: [Bambara people, languageSpoken, Bambara language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bambara language Context triple: [Bambara people, languageSpoken, Bambara language]
-
A.
Zarma language
The Zarma language is a widely spoken Nilo-Saharan language of West Africa, primarily used in Niger and neighboring countries, and serves as a major lingua franca in the region.
-
B.
Koyraboro Senni language
The Koyraboro Senni language is a Songhay language spoken primarily along the Niger River in Mali, notably around the city of Gao.
-
C.
Guinean Fula
Guinean Fula is a regional variety of the Fula (Fulani) language spoken primarily in Guinea.
-
D.
Guéré language
The Guéré language is a Kru language spoken primarily by the Guéré (Wè) people of western Côte d'Ivoire and eastern Liberia.
-
E.
Bambara
chosen
Bambara is a major Mande language widely spoken in Mali and neighboring West African countries, serving as a key lingua franca 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd461cf08190a506aac2f0cec83a |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:13 a.m.