Triple

T10289638
Position Surface form Disambiguated ID Type / Status
Subject Taslḥit E241327 entity
Predicate alternateName P39 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: [Taslḥit, alternateName, Tachelhit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tachelhit
Context triple: [Taslḥit, alternateName, 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. Khenchela
    Khenchela is a town in northeastern Algeria known as an important urban center in the Aurès mountain region.
  • C. 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.
  • D. Aïn Beïda
    Aïn Beïda is a city in northeastern Algeria known as a regional commercial and administrative center with historical roots dating back to the Ottoman period.
  • E. Ghadamisi
    Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d192288190a64c27a4f26b71fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d1465e88190aaa8b295df3f9c8c completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:41 a.m.