Triple

T15512248
Position Surface form Disambiguated ID Type / Status
Subject Inari, Finland E368739 entity
Predicate hasVillage P4011 FINISHED
Object Saariselkä — 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: Saariselkä | Statement: [Inari, Finland, hasVillage, Saariselkä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saariselkä
Context triple: [Inari, Finland, hasVillage, Saariselkä]
  • A. Saariselkä chosen
    Saariselkä is a popular holiday resort village in Finnish Lapland, known for its ski slopes, outdoor activities, and access to the surrounding Arctic wilderness.
  • B. Loviisa
    Loviisa is a small coastal town and municipality in southern Finland known for its historic wooden houses, seaside location, and nuclear power plant.
  • C. Saarijärvi
    Saarijärvi is a town and municipality in the Central Finland region, known for its numerous lakes and forested landscapes.
  • D. Kalajoki
    Kalajoki is a coastal town and municipality in Northern Ostrobothnia, Finland, known for its long sandy beaches and tourism.
  • 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 (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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04030c0208190a1931ea130075603 completed April 16, 2026, 1:49 a.m.
Created at: April 10, 2026, 4 a.m.