Triple

T6646322
Position Surface form Disambiguated ID Type / Status
Subject Veps language E150709 entity
Predicate hasDialect P4251 FINISHED
Object Northern Veps dialect 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: Northern Veps dialect | Statement: [Veps language, hasDialect, Northern Veps dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Veps dialect
Context triple: [Veps language, hasDialect, Northern Veps dialect]
  • 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. Erzya language
    The Erzya language is a Uralic, Finno-Volgaic language spoken primarily by the Erzya Mordvin people in central Russia.
  • D. Gaika dialect
    The Gaika dialect is a regional variety of the Xhosa language traditionally associated with the amaGqika subgroup in South Africa.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01cecc48190a6d2c26d8d5ab80c completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef48b488190ac08dc37d4a5d514 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2 p.m.