Triple

T20899415
Position Surface form Disambiguated ID Type / Status
Subject Shor language E514629 entity
Predicate closelyRelatedTo P37 FINISHED
Object Altai 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: Altai language | Statement: [Shor language, closelyRelatedTo, Altai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altai language
Context triple: [Shor language, closelyRelatedTo, Altai language]
  • A. Altai language chosen
    The Altai language is a Turkic language spoken primarily in Russia’s Altai Republic and surrounding regions by the indigenous Altai people.
  • B. Chulym language
    The Chulym language is a critically endangered Turkic language spoken by a small indigenous community in Siberia, Russia.
  • C. Khakas language
    Khakas language is a Turkic language spoken primarily by the Khakas people in the Republic of Khakassia in south-central Siberia, Russia.
  • D. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • E. Sibe language
    Sibe language is a modern Tungusic language spoken primarily by the Sibe people in Xinjiang, China, and is closely related to Manchu.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8f92bd88190b59b2131ad1d9aa1 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.