Triple

T5309484
Position Surface form Disambiguated ID Type / Status
Subject Beni Mellal E118986 entity
Predicate languageUsed P238 FINISHED
Object Tamazight E164210 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: Tamazight | Statement: [Beni Mellal, languageUsed, Tamazight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamazight
Context triple: [Beni Mellal, languageUsed, 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. Tashelhit
    Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
  • 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. Kabyle
    Kabyle is a major Northern Berber language spoken primarily in the Kabylie region of Algeria by the Kabyle people.
  • E. Riffian Berber
    Riffian Berber is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8532c26c819084f5b8de542cd309 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ffb1f08190aba4c1c860085c92 completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.