Triple

T10158808
Position Surface form Disambiguated ID Type / Status
Subject Jarkko Oikarinen E233835 entity
Predicate placeOfBirth P1 FINISHED
Object Kuusamo E171466 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: Kuusamo | Statement: [Jarkko Oikarinen, placeOfBirth, Kuusamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuusamo
Context triple: [Jarkko Oikarinen, placeOfBirth, 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. Sodankylä
    Sodankylä is a municipality in Finnish Lapland known for its northern location, Arctic climate research, and the annual Midnight Sun Film Festival.
  • C. Valgella
    Valgella is a renowned subzone of Italy’s Valtellina wine region, noted especially for its high-quality Nebbiolo-based red wines.
  • D. Tuusula
    Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
  • E. Loviisa
    Loviisa is a small coastal town and municipality in southern Finland known for its historic wooden houses, seaside location, and nuclear power plant.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec56d944819081bc6ea36c905ba2 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32ac043f08190ba7f526d226d3c8c completed April 6, 2026, 3:38 a.m.
Created at: March 30, 2026, 9:09 p.m.