Triple

T22849375
Position Surface form Disambiguated ID Type / Status
Subject Roman script E566314 entity
Predicate usedFor P98 FINISHED
Object Finnish language NE NERFINISHED

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: Finnish language | Statement: [Roman script, usedFor, Finnish language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finnish language
Context triple: [Roman script, usedFor, Finnish language]
  • A. Finnish language chosen
    Finnish is a Uralic language primarily spoken in Finland, known for its complex grammar, extensive case system, and agglutinative structure.
  • B. 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.
  • C. Meänkieli
    Meänkieli is a Finnic minority language closely related to Finnish, traditionally spoken by the Tornedalian people in northern Sweden.
  • D. Suomi
    Suomi is a Finnish surname most notably borne by Verner E. Suomi, a pioneering scientist often called the "father of satellite meteorology."
  • E. Finnic languages
    The Finnic languages are a branch of the Uralic language family spoken around the Baltic Sea, including languages such as Finnish and Estonian that share common structural and historical features.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8aceb88190b137d17a7510fee4 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.