Triple

T3551627
Position Surface form Disambiguated ID Type / Status
Subject Verkhoyansk E75122 entity
Predicate languageUsed P238 FINISHED
Object Sakha language E105465 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: Sakha language | Statement: [Verkhoyansk, languageUsed, Sakha language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakha language
Context triple: [Verkhoyansk, languageUsed, Sakha language]
  • A. Sakha language chosen
    The Sakha language is a Turkic language spoken primarily by the Sakha (Yakut) people in northeastern Siberia, where it serves as a major regional and cultural language.
  • B. 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.
  • C. Enets language
    Enets language is a critically endangered Samoyedic language of the Uralic family spoken by a small Indigenous community in northern Siberia, Russia.
  • D. Nenets language
    The Nenets language is a Uralic Samoyedic language spoken by the Nenets people of northern Arctic Russia.
  • E. Sibe language
    Sibe language is a modern Tungusic language spoken primarily by the Sibe people in Xinjiang, China, and is closely related to Manchu.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd52f44819088e07139fe987e2a completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bec437c8190b35ca77dc19d441d completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.