Triple

T5643715
Position Surface form Disambiguated ID Type / Status
Subject Ruokolahti E124330 entity
Predicate borders P224 FINISHED
Object Luumäki E238056 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: Luumäki | Statement: [Ruokolahti, borders, Luumäki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luumäki
Context triple: [Ruokolahti, borders, Luumäki]
  • A. Luumäki chosen
    Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
  • B. Kokemäki
    Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
  • C. Hyrynsalmi
    Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
  • D. Vihti
    Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
  • E. Vaajakoski
    Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a7cd9c819087f86f60e8b65fc3 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a1d7af8819092e28ce9fb14d1f1 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:41 p.m.