Triple

T5161185
Position Surface form Disambiguated ID Type / Status
Subject Salo E116439 entity
Predicate region P40 FINISHED
Object Varsinais-Suomi E40737 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: Varsinais-Suomi | Statement: [Salo, region, Varsinais-Suomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varsinais-Suomi
Context triple: [Salo, region, Varsinais-Suomi]
  • A. Ostrobothnia
    Ostrobothnia is a coastal region in western Finland known for its strong Swedish-speaking population, flat landscapes, and historic maritime and agricultural traditions.
  • B. Southwest Finland chosen
    Southwest Finland is a coastal region of Finland known for its historic towns, archipelago landscapes, and the former capital city of Turku.
  • C. North Karelia
    North Karelia is a region in eastern Finland known for its forests, lakes, and strong Karelian cultural heritage.
  • D. North Karelian
    North Karelian is a major dialect of the Karelian language spoken primarily in the northern regions of Karelia, characterized by distinct phonological and lexical features.
  • E. Satakunta
    Satakunta is a historical province and region on the western coast of Finland, known for its industrial heritage, coastal landscapes, and the city of Pori.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79073a54819080cd1e8de6fe906a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf77a987ec8190bda4df37468d9918 completed March 22, 2026, 5:01 a.m.
Created at: March 20, 2026, 1:44 p.m.