Triple
T7060805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamazight |
E164210
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Berber languages |
E4254
|
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: Berber languages | Statement: [Tamazight, partOf, Berber languages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berber languages Context triple: [Tamazight, partOf, Berber languages]
-
A.
Berber languages
chosen
The Berber languages are a group of closely related Afroasiatic languages traditionally spoken by the Indigenous Amazigh peoples of North Africa, particularly in countries such as Morocco, Algeria, Libya, and Tunisia.
-
B.
Saharan languages
Saharan languages are a branch of the Nilo-Saharan language family spoken mainly across the central Sahara and Sahel regions of Africa.
-
C.
Riffian Berber
Riffian Berber is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
-
D.
Amazigh
Amazigh are the Indigenous Berber peoples of North Africa, known for their distinct languages, culture, and historical presence across the Maghreb and Sahara regions.
-
E.
Tashelhit
Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e459de348190912cd5326fb8bee0 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8a72af081909e5e6da123a47694 |
completed | March 28, 2026, 11:16 a.m. |
Created at: March 27, 2026, 2:38 p.m.