Triple

T9365954
Position Surface form Disambiguated ID Type / Status
Subject Ishawiyen E225398 entity
Predicate spokenLanguage P741 FINISHED
Object Chaouia language E795342 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: Chaouia language | Statement: [Ishawiyen, spokenLanguage, Chaouia language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaouia language
Context triple: [Ishawiyen, spokenLanguage, Chaouia language]
  • A. Chaouia language chosen
    The Chaouia language is a Zenati Berber language spoken primarily by the Chaoui people in the Aurès region of northeastern Algeria.
  • B. Chenoua language
    The Chenoua language is a Berber (Amazigh) language spoken by the Chenoua people in northern Algeria, particularly in the Chenoua massif region near Tipaza.
  • C. Ayt Seghrouchen dialect
    The Ayt Seghrouchen dialect is a variety of Central Atlas Tamazight spoken by the Ayt Seghrouchen Amazigh community in north-central Morocco.
  • D. Chokri language
    The Chokri language is a Sino-Tibetan language spoken primarily by the Chakhesang Naga community in the Indian state of Nagaland.
  • E. 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.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5041261c81909edab3b7fcd1fe22 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100d3444c81908b14f165ec128b76 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:43 p.m.