Triple

T4932615
Position Surface form Disambiguated ID Type / Status
Subject Lensk E110731 entity
Predicate regionalLanguage P237 FINISHED
Object Sakha E434976 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: Sakha | Statement: [Lensk, regionalLanguage, Sakha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakha
Context triple: [Lensk, regionalLanguage, 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. Yukaghirs
    The Yukaghirs are an indigenous people of northeastern Siberia known for their traditional hunting and fishing lifestyle and their distinct Yukaghir languages.
  • E. Khakas
    Khakas is a Turkic language spoken primarily by the Khakas people in the Republic of Khakassia in south-central Siberia, Russia.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7063c57c8190a5a6fb3586238d35 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba512f1881909e9bf062fe416ac8 completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:30 p.m.