Triple

T21292673
Position Surface form Disambiguated ID Type / Status
Subject Azilal Province E524834 entity
Predicate languageSpoken P151 FINISHED
Object Tamazight 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: Tamazight | Statement: [Azilal Province, languageSpoken, Tamazight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamazight
Context triple: [Azilal Province, languageSpoken, Tamazight]
  • A. Tamazight chosen
    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.
  • B. Insular Tamazight
    Insular Tamazight is the extinct Berber language once spoken by the indigenous Guanche people of the Canary Islands.
  • C. Tashelhit
    Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
  • D. 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.
  • E. Tamazgha
    Tamazgha is the name used by many Amazigh (Berber) people for the broader North African homeland where their communities and cultures are rooted.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73855e5d08190aed5e285247b4e23 completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.