Triple
T7763570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghomara language |
E176085
|
entity |
| Predicate | isLesserKnownComparedTo |
P75548
|
FINISHED |
| Object | Tashelhit language |
E49027
|
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: Tashelhit language | Statement: [Ghomara language, isLesserKnownComparedTo, Tashelhit language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tashelhit language Context triple: [Ghomara language, isLesserKnownComparedTo, Tashelhit language]
-
A.
Tashelhit
chosen
Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
-
B.
Tamazight
Tamazight is a branch of the Berber (Amazigh) languages of North Africa, encompassing several closely related varieties spoken across countries such as Morocco and Algeria.
-
C.
Beni Snous Tamazight
Beni Snous Tamazight is a Zenati Berber variety traditionally spoken by the Beni Snous community in northwestern Algeria near the Moroccan border.
-
D.
Riffian Berber
Riffian Berber is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
-
E.
Tamasheq
Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c708b13c688190839c920ec196cada |
completed | March 27, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6c8276c8190bdc3efc2a6175610 |
completed | March 29, 2026, 7:37 a.m. |
Created at: March 27, 2026, 4:09 p.m.