Triple

T19089997
Position Surface form Disambiguated ID Type / Status
Subject Il Tumen E467257 entity
Predicate languageOfWork P15 FINISHED
Object Sakha 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: Sakha | Statement: [Il Tumen, languageOfWork, Sakha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakha
Context triple: [Il Tumen, languageOfWork, Sakha]
  • A. Sakha chosen
    Sakha is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • B. Sakha Republic
    The Sakha Republic, also known as Yakutia, is a vast, sparsely populated federal republic of Russia in northeastern Siberia, renowned for its extreme subarctic climate and rich mineral resources, especially diamonds.
  • C. Khakassia
    Khakassia is a republic in south-central Siberia, Russia, known for its steppe landscapes, rich Turkic and indigenous cultural heritage, and significant archaeological sites.
  • D. Buryatia
    Buryatia is a republic of Russia in south-central Siberia, known for its Buryat Mongolic culture and its location along the eastern shore of Lake Baikal.
  • E. Yukaghirs
    The Yukaghirs are an indigenous people of northeastern Siberia known for their traditional hunting and fishing lifestyle and their distinct Yukaghir languages.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34a589c8190b5171fab45bf2204 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.