Triple

T3442312
Position Surface form Disambiguated ID Type / Status
Subject Ludian language E72592 entity
Predicate isTransitionalBetween P22231 FINISHED
Object Veps language 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 language | Statement: [Ludian language, isTransitionalBetween, Veps language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veps language
Context triple: [Ludian language, isTransitionalBetween, Veps language]
  • 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. Evenki language
    The Evenki language is a Northern Tungusic language spoken by the Evenki people across Siberia, northeastern China, and Mongolia.
  • D. 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.
  • E. Erzya language
    The Erzya language is a Uralic, Finno-Volgaic language spoken primarily by the Erzya Mordvin people in central 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba28ec448190a6a07c5f16235fe3 completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360d0beb08190921d7cfe6b86eab2 completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:16 p.m.