Triple

T8600730
Position Surface form Disambiguated ID Type / Status
Subject Tamasheq E203666 entity
Predicate hasAlternativeName P39 FINISHED
Object Tamashek E203666 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: Tamashek | Statement: [Tamasheq, hasAlternativeName, Tamashek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamashek
Context triple: [Tamasheq, hasAlternativeName, Tamashek]
  • A. Tamasheq chosen
    Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
  • 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. Riffian Berber
    Riffian Berber is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • E. Kabyle
    Kabyle is a major Northern Berber language spoken primarily in the Kabylie region of Algeria by the Kabyle people.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc839cdc819093c3cd0e44f173a2 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:24 p.m.