Triple

T19061847
Position Surface form Disambiguated ID Type / Status
Subject Yukaghir E466550 entity
Predicate historicalLanguageContact P29982 FINISHED
Object Yakut language 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: Yakut language | Statement: [Yukaghir, historicalLanguageContact, Yakut language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yakut language
Context triple: [Yukaghir, historicalLanguageContact, Yakut language]
  • A. Khakas language
    Khakas language is a Turkic language spoken primarily by the Khakas people in the Republic of Khakassia in south-central Siberia, Russia.
  • B. Yakutic languages
    The Yakutic languages are a small branch of the Turkic language family spoken primarily in northeastern Siberia, most notably including the Sakha (Yakut) language.
  • C. Koryak language
    Koryak language is a Chukotko-Kamchatkan language spoken by the Indigenous Koryak people of northeastern Siberia in Russia.
  • D. Nivkh language
    The Nivkh language is an isolate spoken by the indigenous Nivkh people of Russia’s Far East, primarily on Sakhalin Island and along the lower Amur River.
  • E. Sakha language chosen
    The Sakha language is a Turkic language spoken primarily by the Sakha (Yakut) people in northeastern Siberia, where it serves as a major regional and cultural language.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e194c854819085a0a48d22c5cebd completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:03 p.m.