Triple

T15127909
Position Surface form Disambiguated ID Type / Status
Subject Nenets language E361338 entity
Predicate closelyRelatedTo P37 FINISHED
Object Enets language E362212 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: Enets language | Statement: [Nenets language, closelyRelatedTo, Enets language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enets language
Context triple: [Nenets language, closelyRelatedTo, Enets language]
  • A. Enets language chosen
    Enets language is a critically endangered Samoyedic language of the Uralic family spoken by a small Indigenous community in northern Siberia, Russia.
  • B. Nenets language
    The Nenets language is a Uralic Samoyedic language spoken by the Nenets people of northern Arctic Russia.
  • 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. Evenki language
    The Evenki language is a Northern Tungusic language spoken by the Evenki people across Siberia, northeastern China, and Mongolia.
  • E. Selkup language
    The Selkup language is a critically endangered Uralic (Samoyedic) language spoken by the indigenous Selkup people of western Siberia in 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005aff2648190bda885c09421758d completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec87ed2cc8190b4cae72774e0df7f completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:06 a.m.