Triple

T6200296
Position Surface form Disambiguated ID Type / Status
Subject Bayangol District E138611 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Mongolian E61826 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: Mongolian | Statement: [Bayangol District, hasOfficialLanguage, Mongolian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mongolian
Context triple: [Bayangol District, hasOfficialLanguage, Mongolian]
  • A. Tuvan
    Tuvan is a Turkic language spoken primarily in the Tuva Republic of Russia, known for its rich oral traditions and association with Tuvan throat singing.
  • B. Mongolic languages chosen
    Mongolic languages are a family of closely related languages spoken primarily in Mongolia, northern China, and parts of Russia, including the major language Mongolian.
  • C. Buryat language
    The Buryat language is a Mongolic language spoken primarily by the Buryat people in Siberia, especially around Lake Baikal in Russia, with smaller communities in Mongolia and China.
  • D. Mongolian tögrög
    The Mongolian tögrög is the official national currency of Mongolia, used for everyday transactions and financial operations throughout the country.
  • E. Ussuriysk
    Ussuriysk is a city in Russia’s Far East known as an important regional transport and economic center near the border with China.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062547cd48190a2715537b961262e completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f366cfc81909cca73677268821a completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:20 p.m.