Triple

T21662643
Position Surface form Disambiguated ID Type / Status
Subject Tuvans E534630 entity
Predicate historicalState P4711 FINISHED
Object Tannu Tuva NE NERFINISHED

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: Tannu Tuva | Statement: [Tuvans, historicalState, Tannu Tuva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tannu Tuva
Context triple: [Tuvans, historicalState, Tannu Tuva]
  • A. Tyva Republic chosen
    The Tyva Republic is a federal subject of Russia located in southern Siberia, known for its mountainous terrain, traditional Tuvan culture, and throat singing.
  • B. Mongolia
    Mongolia is a landlocked nation in East and Central Asia known for its vast steppes, nomadic culture, and historical legacy as the heartland of the Mongol Empire founded by Genghis Khan.
  • C. Tibet
    Tibet is a high-altitude plateau region in Asia, historically known as the homeland of Tibetan Buddhism and the former Tibetan Empire, now an autonomous region of China.
  • D. Takestan
    Takestan is a city in northwestern Iran known as an important agricultural and viticultural center within Qazvin Province.
  • E. Russia and Mongolia
    Russia and Mongolia are neighboring countries in northern Eurasia that share a long land border across the Central Asian steppe and mountain regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0956e0819093b4794418efe052 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.