Triple

T12833219
Position Surface form Disambiguated ID Type / Status
Subject Little Yenisei E306838 entity
Predicate languageOfName P15 FINISHED
Object Tuvan E233990 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: Tuvan | Statement: [Little Yenisei, languageOfName, Tuvan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuvan
Context triple: [Little Yenisei, languageOfName, Tuvan]
  • A. Tuvan chosen
    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. Ussuriysk
    Ussuriysk is a city in Russia’s Far East known as an important regional transport and economic center near the border with China.
  • C. Bashkir
    Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
  • D. Kalmyk
    Kalmyk refers to a Mongolic ethnic group primarily living in Russia’s Kalmykia region, known for being the only traditionally Buddhist people in Europe.
  • E. Kalmyk language
    Kalmyk language is a Mongolic language spoken primarily by the Kalmyk people in Russia’s Republic of Kalmykia, notable as the only traditionally Buddhist region in Europe.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb0bb208190bdc4d3dc7909be06 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9bb0b48190ba3f9f92d270db83 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:34 p.m.