Triple

T14375520
Position Surface form Disambiguated ID Type / Status
Subject Tariq ibn Ziyad E356463 entity
Predicate ethnicity P194 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: [Tariq ibn Ziyad, ethnicity, Berber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berber
Context triple: [Tariq ibn Ziyad, ethnicity, 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5514688190be90776c8764d4f3 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.