Triple

T21129192
Position Surface form Disambiguated ID Type / Status
Subject Kitinen E520637 entity
Predicate flowsThrough P225 FINISHED
Object Sodankylä 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: Sodankylä | Statement: [Kitinen, flowsThrough, Sodankylä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sodankylä
Context triple: [Kitinen, flowsThrough, Sodankylä]
  • A. Sodankylä chosen
    Sodankylä is a municipality in Finnish Lapland known for its northern location, Arctic climate research, and the annual Midnight Sun Film Festival.
  • B. Kuusamo
    Kuusamo is a town and municipality in northeastern Finland known for its rugged wilderness, outdoor tourism, and the popular Ruka ski resort.
  • C. Tammerkoski
    Tammerkoski is a rapid-flowing channel in Tampere, Finland, that connects two lakes and historically powered the city’s industrial development.
  • D. Tuusniemi
    Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
  • E. Ivalo
    Ivalo is a village in northern Finnish Lapland known as a key transport hub and gateway to the surrounding Arctic wilderness and tourism areas.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223b4c4c8190b9fffa610588651e completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:56 p.m.