Triple

T38661696
Position Surface form Disambiguated ID Type / Status
Subject Khalkha Mongols E940350 entity
Predicate dominantLanguageVarietyOf P11430 FINISHED
Object standard Mongolian in Mongolia LITERAL 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: standard Mongolian in Mongolia | Statement: [Khalkha Mongols, dominantLanguageVarietyOf, standard Mongolian in Mongolia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dominantLanguageVarietyOf
Context triple: [Khalkha Mongols, dominantLanguageVarietyOf, standard Mongolian in Mongolia]
  • A. primaryLanguageVariety
    Indicates the main dialect or specific variety of a language that an entity primarily uses.
  • B. dominantLocalLanguage
    Indicates that one language is the primary or most widely used language within a specific local area or community.
  • C. dominantTraditionalLanguage
    Indicates that one language is the primary or most widely used traditional language within a given context or community.
  • D. majorityLanguageOf chosen
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
  • E. officialLanguageVariant
    Indicates that one language variety is an officially recognized form or version of another language within a specific jurisdiction or context.
  • F. None of above.

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_69f76edfde348190bf6529d9f49ecd62 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd231cab588190ad0953dc8f4af8f2 completed May 7, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69fd1aa3f1c481909fe6e9cab1383551 completed May 7, 2026, 11:05 p.m.
Created at: May 3, 2026, 4:33 p.m.