Triple
T22187888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kutama Berbers |
E548341
|
entity |
| Predicate | ethnonymLanguage |
P4709
|
FINISHED |
| Object | Berber |
—
|
NE NERFINISHED |
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 | Statement: [Kutama Berbers, ethnonymLanguage, Berber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berber Context triple: [Kutama Berbers, ethnonymLanguage, Berber]
-
A.
Mozabite Berber
Mozabite Berber is a Zenati Berber language spoken primarily by the Ibadi Mozabite community in Algeria’s M’zab region.
-
B.
Zenaga Berber
Zenaga Berber is an endangered Berber language historically spoken by nomadic communities in parts of Mauritania and Senegal, known for its significant influence on the region’s Arabic dialects.
-
C.
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.
-
D.
Chenoua Berber
Chenoua Berber is a Northern Berber language variety spoken mainly in the Chenoua region of northern Algeria, forming part of the wider Zenati branch of Berber languages.
-
E.
Berbers
chosen
The Berbers, or Amazigh, are an indigenous ethnic group of North Africa with their own distinct languages and cultural traditions, predating Arab and Islamic influences in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aaa32288190830f6dfc626fb26a |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.