Triple
T12653658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jula |
E302226
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Dioula language |
E162977
|
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: Dioula language | Statement: [Jula, hasAlternativeName, Dioula language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dioula language Context triple: [Jula, hasAlternativeName, Dioula language]
-
A.
Baoulé language
The Baoulé language is a Niger-Congo language spoken primarily by the Baoulé people of central Côte d'Ivoire.
-
B.
Dioula
chosen
Dioula is a Mande language of West Africa, widely used as a trade and lingua franca language in countries like Burkina Faso, Côte d’Ivoire, and Mali.
-
C.
Guéré language
The Guéré language is a Kru language spoken primarily by the Guéré (Wè) people of western Côte d'Ivoire and eastern Liberia.
-
D.
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.
-
E.
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.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:18 p.m.