Triple

T18456222
Position Surface form Disambiguated ID Type / Status
Subject Northern Ostrobothnia E450908 entity
Predicate hasMunicipality P847 FINISHED
Object Kuusamo 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: Kuusamo | Statement: [Northern Ostrobothnia, hasMunicipality, Kuusamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuusamo
Context triple: [Northern Ostrobothnia, hasMunicipality, Kuusamo]
  • A. Kuusamo chosen
    Kuusamo is a town and municipality in northeastern Finland known for its rugged wilderness, outdoor tourism, and the popular Ruka ski resort.
  • B. Ivalo
    Ivalo is a village in northern Finnish Lapland known as a key transport hub and gateway to the surrounding Arctic wilderness and tourism areas.
  • C. Sodankylä
    Sodankylä is a municipality in Finnish Lapland known for its northern location, Arctic climate research, and the annual Midnight Sun Film Festival.
  • D. Valgella
    Valgella is a renowned subzone of Italy’s Valtellina wine region, noted especially for its high-quality Nebbiolo-based red wines.
  • E. Kalajoki
    Kalajoki is a coastal town and municipality in Northern Ostrobothnia, Finland, known for its long sandy beaches and tourism.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264c10408190b2085ade88655c7d completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.