Triple

T1307433
Position Surface form Disambiguated ID Type / Status
Subject Melilla E27909 entity
Predicate hasEthnicCommunity P1898 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: [Melilla, hasEthnicCommunity, Berber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berber
Context triple: [Melilla, hasEthnicCommunity, Berber]
  • A. 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.
  • B. Berber languages
    The Berber languages are a group of closely related Afroasiatic languages traditionally spoken by the Indigenous Amazigh peoples of North Africa, particularly in countries such as Morocco, Algeria, Libya, and Tunisia.
  • C. Kabyle
    Kabyle is a major Northern Berber language spoken primarily in the Kabylie region of Algeria by the Kabyle people.
  • D. Tuareg
    The Tuareg are a traditionally nomadic Berber ethnic group of the Sahara Desert, known for their distinctive indigo clothing, camel caravans, and rich oral and musical heritage.
  • E. Tashelhit
    Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1368038819089d1091cc43901a3 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb308fdcc8190b33da42f16cd65dd completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.