Triple
T6922383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zarma language |
E160218
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Koyraboro Senni language |
E610424
|
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: Koyraboro Senni language | Statement: [Zarma language, closelyRelatedTo, Koyraboro Senni language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koyraboro Senni language Context triple: [Zarma language, closelyRelatedTo, Koyraboro Senni language]
-
A.
Koyraboro Senni language
chosen
The Koyraboro Senni language is a Songhay language spoken primarily along the Niger River in Mali, notably around the city of Gao.
-
B.
Tamasheq
Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
-
C.
Yemba language
Yemba language is a major Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
-
D.
Manguissa language
The Manguissa language is a Bantu language spoken by the Manguissa people of Cameroon, closely related to and geographically adjacent to Ewondo.
-
E.
Badaga language
Badaga language is a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fd159c819092a69d1a24e22dd5 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761800804819082320a03f035f05b |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:26 p.m.