Triple

T8600721
Position Surface form Disambiguated ID Type / Status
Subject Tamasheq E203666 entity
Predicate closelyRelatedTo P37 FINISHED
Object Tachelhit E243817 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: Tachelhit | Statement: [Tamasheq, closelyRelatedTo, Tachelhit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tachelhit
Context triple: [Tamasheq, closelyRelatedTo, Tachelhit]
  • A. Tachelhit chosen
    Tachelhit is a Berber (Amazigh) language spoken primarily in southwestern Morocco, especially in the Souss region and the High Atlas mountains.
  • B. Maaloula
    Maaloula is a historic Syrian mountain village renowned as one of the last places where Western Neo-Aramaic, a modern descendant of the language of Jesus, is still spoken.
  • C. Ghadamisi
    Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
  • D. Ghardaïa
    Ghardaïa is a historic oasis city in northern Algeria, renowned for its distinctive Mozabite architecture and role as a cultural and commercial center of the M’zab Valley.
  • E. Béja
    Béja is a historic city in northwestern Tunisia known for its agricultural importance and Roman-era heritage.
  • 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.