Triple

T1368641
Position Surface form Disambiguated ID Type / Status
Subject Ingrian Finns E30058 entity
Predicate historicalLanguageShift P4295 FINISHED
Object from Ingrian Finnish to Russian LITERAL 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: from Ingrian Finnish to Russian | Statement: [Ingrian Finns, historicalLanguageShift, from Ingrian Finnish to Russian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalLanguageShift
Context triple: [Ingrian Finns, historicalLanguageShift, from Ingrian Finnish to Russian]
  • A. heritageLanguageShift chosen
    Indicates a change over time in which a community or individual moves away from using their ancestral or heritage language toward another dominant language.
  • B. historicalLanguage
    Indicates that one language is a historical or earlier form/ancestor of another language.
  • C. causeOfLanguageShift
    Indicates a factor or event that leads to a change from one dominant language or linguistic pattern to another within a community or population.
  • D. historicalLanguageStatus
    Indicates that a language had a particular official, social, or functional status during a past historical period.
  • E. historicalLanguageOfEnvironment
    Indicates that a language was historically used or prevalent in a given environment or setting, even if it is not the current primary language there.
  • F. None of above.

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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d497f88190993d16a208ced43d completed March 1, 2026, 10:51 p.m.
PD Predicate disambiguation batch_69a4befb08b88190be966fa1aadd4bcd completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:57 p.m.