Triple

T12576104
Position Surface form Disambiguated ID Type / Status
Subject Oirat language E300209 entity
Predicate alsoKnownAs P39 FINISHED
Object Kalmyk-Oirat E75965 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: Kalmyk-Oirat | Statement: [Oirat language, alsoKnownAs, Kalmyk-Oirat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalmyk-Oirat
Context triple: [Oirat language, alsoKnownAs, Kalmyk-Oirat]
  • A. Kalmyk chosen
    Kalmyk refers to a Mongolic ethnic group primarily living in Russia’s Kalmykia region, known for being the only traditionally Buddhist people in Europe.
  • B. Khakas
    Khakas is a Turkic language spoken primarily by the Khakas people in the Republic of Khakassia in south-central Siberia, Russia.
  • C. Yukaghir
    The Yukaghir are an Indigenous people of northeastern Siberia, Russia, known for their traditional hunting and fishing lifestyle and their distinct Yukaghir languages.
  • D. Sakha (Yakut) people
    The Sakha (Yakut) people are a Turkic-speaking Indigenous group of northeastern Siberia, known for their horse and cattle pastoralism, rich epic oral traditions, and cultural adaptation to the extreme climate of the Russian Far East.
  • E. Bashkir
    Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a629fc8190a1c3b6777aad4527 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65597dc70819089ddc1794e9bd1b7 completed May 2, 2026, 7:50 p.m.
Created at: April 9, 2026, 4:47 p.m.