Triple

T9271170
Position Surface form Disambiguated ID Type / Status
Subject Raate Road E222831 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: [Raate Road, locatedIn, Kainuu region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kainuu region
Context triple: [Raate Road, 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07865790819099b3865a25dae58a completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5b744b534819095b272ba8943f7b7 completed April 20, 2026, 5:19 a.m.
Created at: March 30, 2026, 7:33 p.m.