Triple

T8600698
Position Surface form Disambiguated ID Type / Status
Subject Tamasheq E203666 entity
Predicate subclassOf P1244 FINISHED
Object Tuareg language 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: Tuareg language | Statement: [Tamasheq, subclassOf, Tuareg language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuareg language
Context triple: [Tamasheq, subclassOf, Tuareg language]
  • A. Koyraboro Senni language
    The Koyraboro Senni language is a Songhay language spoken primarily along the Niger River in Mali, notably around the city of Gao.
  • B. Awjila Berber language
    Awjila Berber is an endangered Eastern Berber language once spoken in the oasis town of Awjila in eastern Libya, notable for its archaic features and limited documentation.
  • C. Tamasheq chosen
    Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
  • D. Saharan languages
    Saharan languages are a branch of the Nilo-Saharan language family spoken mainly across the central Sahara and Sahel regions of Africa.
  • E. 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.
  • 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_69cebbb11140819081bde8a1565aad4a completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:24 p.m.