Triple
T11302887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagaare language |
E267638
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Mossi language |
E267636
|
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: Mossi language | Statement: [Dagaare language, closelyRelatedTo, Mossi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mossi language Context triple: [Dagaare language, closelyRelatedTo, Mossi language]
-
A.
Mossi language
chosen
The Mossi language is a major Gur language spoken primarily in Burkina Faso, serving as a key lingua franca and the mother tongue of the Mossi people.
-
B.
Moghamo language
The Moghamo language is a Bantu-related Grassfields language spoken by the Moghamo people in the Northwest Region of Cameroon.
-
C.
Manguissa language
The Manguissa language is a Bantu language spoken by the Manguissa people of Cameroon, closely related to and geographically adjacent to Ewondo.
-
D.
Ngamo language
The Ngamo language is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
-
E.
Sanglechi language
The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525a842dc81909c84d8bd1a6414fa |
completed | April 19, 2026, 6:57 p.m. |
Created at: April 8, 2026, 9:32 p.m.