Triple

T8424328
Position Surface form Disambiguated ID Type / Status
Subject Masinissa E198938 entity
Predicate culture P1114 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: [Masinissa, culture, Berber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berber
Context triple: [Masinissa, culture, 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. 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.
  • C. 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.
  • D. Riffian Berber
    Riffian Berber is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • E. Maghrebi Berber
    Maghrebi Berber is a major branch of the Berber (Amazigh) languages spoken across the Maghreb region of North Africa, encompassing diverse but related dialects from Morocco to western Libya.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb85a0d04481908a5da908cafeceaa completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035aac4c81909066c1ca1318d006 completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.