Triple

T8573111
Position Surface form Disambiguated ID Type / Status
Subject Bayannur E202975 entity
Predicate languageUsed P238 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: [Bayannur, languageUsed, Mongolian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mongolian
Context triple: [Bayannur, languageUsed, 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea458c1081908e79bee2cbf97207 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce898cf8648190b52758b6ecf2959b completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:21 p.m.