Triple

T19599493
Position Surface form Disambiguated ID Type / Status
Subject Evenki people E470429 entity
Predicate nativeLanguage P151 FINISHED
Object Evenki language NE NERFINISHED

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: Evenki language | Statement: [Evenki people, nativeLanguage, Evenki language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evenki language
Context triple: [Evenki people, nativeLanguage, Evenki language]
  • A. Evenki language chosen
    The Evenki language is a Northern Tungusic language spoken by the Evenki people across Siberia, northeastern China, and Mongolia.
  • B. Enets language
    Enets language is a critically endangered Samoyedic language of the Uralic family spoken by a small Indigenous community in northern Siberia, Russia.
  • C. Votic language
    The Votic language is a nearly extinct Uralic language traditionally spoken by the Votes in Ingria, near the Gulf of Finland in northwestern Russia.
  • D. Nenets language
    The Nenets language is a Uralic Samoyedic language spoken by the Nenets people of northern Arctic Russia.
  • E. Khanty language
    The Khanty language is a Uralic language spoken by the Khanty people of western Siberia, closely related to Mansi and traditionally used in the Khanty-Mansi Autonomous Okrug of Russia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407d46188190b9818665b2a698a5 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.