Triple

T16702887
Position Surface form Disambiguated ID Type / Status
Subject Common Voice dataset E405893 entity
Predicate hasLanguage P15 FINISHED
Object Kabyle E30636 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: Kabyle | Statement: [Common Voice dataset, hasLanguage, Kabyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabyle
Context triple: [Common Voice dataset, hasLanguage, Kabyle]
  • A. Kabyle chosen
    Kabyle is a major Northern Berber language spoken primarily in the Kabylie region of Algeria by the Kabyle people.
  • B. Kabylie
    Kabylie is a mountainous coastal region in northern Algeria known as a historic stronghold of the Kabyle Berber people and their distinct language and culture.
  • 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. Zenaga Berber
    Zenaga Berber is an endangered Berber language historically spoken by nomadic communities in parts of Mauritania and Senegal, known for its significant influence on the region’s Arabic dialects.
  • E. Riffian Berber
    Riffian Berber is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38333a6908190a17d2dee2ca622d6 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaed833c8190ab8a724d279dc52d completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:19 a.m.