Triple

T7737853
Position Surface form Disambiguated ID Type / Status
Subject Hossa National Park E175428 entity
Predicate locatedIn P40 FINISHED
Object Kainuu region E664192 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: Kainuu region | Statement: [Hossa National Park, locatedIn, Kainuu region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kainuu region
Context triple: [Hossa National Park, locatedIn, Kainuu region]
  • A. Kainuu region chosen
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • B. Kuopio region
    The Kuopio region is a central area of Eastern Finland known for its lakes, forests, and the city of Kuopio as its main urban and economic hub.
  • C. Kouvola region
    The Kouvola region is an area in southeastern Finland centered around the city of Kouvola, known for its forests, lakes, and role as a regional transport and commercial hub.
  • D. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • E. Jyväskylä region
    The Jyväskylä region is a central Finnish area known for its lakes, forests, and the city of Jyväskylä, a major hub of education, culture, and technology.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035a97688190bf93efeee2e365ec completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c902af947081908d09cba5e4e4e434 completed March 29, 2026, 10:45 a.m.
Created at: March 27, 2026, 4:07 p.m.