Triple

T1301300
Position Surface form Disambiguated ID Type / Status
Subject Uralic languages E27768 entity
Predicate hasMember P10 FINISHED
Object Selkup language E74206 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: Selkup language | Statement: [Uralic languages, hasMember, Selkup language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selkup language
Context triple: [Uralic languages, hasMember, Selkup language]
  • A. Sakha language
    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.
  • B. Selkup chosen
    The Selkup are an indigenous Uralic-speaking people of Siberia, traditionally semi-nomadic hunters, fishers, and reindeer herders living mainly along the middle reaches of the Ob River in Russia.
  • C. Erzya language
    The Erzya language is a Uralic, Finno-Volgaic language spoken primarily by the Erzya Mordvin people in central Russia.
  • D. Yugtun
    Yugtun is the Central Alaskan Yup’ik language spoken by Yup’ik people in western and southwestern Alaska.
  • E. Votic language
    The Votic language is a nearly extinct Uralic language traditionally spoken by the Votes in Ingria, near the Gulf of Finland in northwestern 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1145c2481908adf22dfd6ce349b completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce5fa07c8190a410461d51ef1f3a completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:51 p.m.