Triple

T7034552
Position Surface form Disambiguated ID Type / Status
Subject Oulu Province (historical) E163348 entity
Predicate containsCity P294 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: [Oulu Province (historical), containsCity, Kuusamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuusamo
Context triple: [Oulu Province (historical), containsCity, 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. 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.
  • D. Loviisa
    Loviisa is a small coastal town and municipality in southern Finland known for its historic wooden houses, seaside location, and nuclear power plant.
  • E. Sotkamo
    Sotkamo is a municipality in eastern Finland known for its mining industry, outdoor recreation, and the popular Vuokatti ski and sports resort area.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e212e28c8190bf38ce9a25d2032e completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a313f0c88190834daf87723a77a1 completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:36 p.m.