Triple

T11430340
Position Surface form Disambiguated ID Type / Status
Subject Mimoun E270861 entity
Predicate languageOfOrigin P151 FINISHED
Object Berber E6842 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 | Statement: [Mimoun, languageOfOrigin, Berber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berber
Context triple: [Mimoun, languageOfOrigin, 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. 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.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c1bfb881909720c74fe0fa837f completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8d923688190bb4d61d57768e10e completed April 20, 2026, 5:25 a.m.
Created at: April 8, 2026, 9:35 p.m.