Triple

T4750482
Position Surface form Disambiguated ID Type / Status
Subject Sakha language E105465 entity
Predicate alternativeName P39 FINISHED
Object Yakut 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: Yakut language | Statement: [Sakha language, alternativeName, Yakut language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yakut language
Context triple: [Sakha language, alternativeName, Yakut language]
  • A. Koryak language
    Koryak language is a Chukotko-Kamchatkan language spoken by the Indigenous Koryak people of northeastern Siberia in Russia.
  • B. 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.
  • C. 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.
  • D. Nanai language
    Nanai language is a critically endangered Tungusic language spoken by the Nanai people of the Russian Far East and northeastern China.
  • E. Nenets language
    The Nenets language is a Uralic Samoyedic language spoken by the Nenets people of northern Arctic Russia.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c83af48190bd57be79c1505e9d completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43b24440819081f3932eb6b68b48 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:20 p.m.