Triple

T3481124
Position Surface form Disambiguated ID Type / Status
Subject Enets E73491 entity
Predicate language P15 FINISHED
Object Enets language
Enets language is a critically endangered Samoyedic language of the Uralic family spoken by a small Indigenous community in northern Siberia, Russia.
E362212 NE FINISHED

How this triple was built (4 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: [Enets, language, Enets language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enets language
Context triple: [Enets, language, Enets language]
  • A. Nenets language
    The Nenets language is a Uralic Samoyedic language spoken by the Nenets people of northern Arctic Russia.
  • 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. Evenki language
    The Evenki language is a Northern Tungusic language spoken by the Evenki people across Siberia, northeastern China, and Mongolia.
  • D. Erzya language
    The Erzya language is a Uralic, Finno-Volgaic language spoken primarily by the Erzya Mordvin people in central Russia.
  • E. Sakha language
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Enets language
Triple: [Enets, language, Enets language]
Generated description
Enets language is a critically endangered Samoyedic language of the Uralic family spoken by a small Indigenous community in northern Siberia, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Enets language
Target entity description: Enets language is a critically endangered Samoyedic language of the Uralic family spoken by a small Indigenous community in northern Siberia, Russia.
  • A. Nenets language
    The Nenets language is a Uralic Samoyedic language spoken by the Nenets people of northern Arctic Russia.
  • 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. Evenki language
    The Evenki language is a Northern Tungusic language spoken by the Evenki people across Siberia, northeastern China, and Mongolia.
  • D. Erzya language
    The Erzya language is a Uralic, Finno-Volgaic language spoken primarily by the Erzya Mordvin people in central Russia.
  • E. Sakha language
    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.
  • F. None of above. chosen

Provenance (5 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb75850c8190ad02cf2bde8be8a7 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373b5086081908ee4491860597557 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b37497edb88190bd3300e33666abde completed March 13, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69b375233df88190a9bef254932bf7ee completed March 13, 2026, 2:23 a.m.
Created at: March 8, 2026, 3:17 p.m.