Triple

T1766852
Position Surface form Disambiguated ID Type / Status
Subject Leningrad Oblast E38781 entity
Predicate hasMinorityLanguage P2267 FINISHED
Object Veps E150709 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: Veps | Statement: [Leningrad Oblast, hasMinorityLanguage, Veps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veps
Context triple: [Leningrad Oblast, hasMinorityLanguage, Veps]
  • A. Veps language chosen
    Veps language is a Finnic Uralic language spoken by the Veps people in northwestern Russia, closely related to Finnish and Karelian.
  • B. 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.
  • C. Chuvash
    Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
  • D. Enets
    Enets are a small Indigenous Samoyedic people of northern Siberia, closely related linguistically and culturally to the Nenets, with a traditional lifestyle centered on reindeer herding, fishing, and hunting.
  • E. Karelian language
    The Karelian language is a Uralic language closely related to Finnish, traditionally spoken by the Karelian people in parts of Finland and 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa646914048190bbe282a3d4768835 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0f37a28819086c35c9f7a07dea9 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.