Triple

T21200458
Position Surface form Disambiguated ID Type / Status
Subject Ounasjoki E522440 entity
Predicate sourceLocation P40 FINISHED
Object Enontekiö 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: Enontekiö | Statement: [Ounasjoki, sourceLocation, Enontekiö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enontekiö
Context triple: [Ounasjoki, sourceLocation, Enontekiö]
  • A. Enontekiö chosen
    Enontekiö is a sparsely populated municipality in northwestern Finnish Lapland, known for its Arctic landscapes, Sámi culture, and location along the borders with Sweden and Norway.
  • B. Tammerkoski
    Tammerkoski is a rapid-flowing channel in Tampere, Finland, that connects two lakes and historically powered the city’s industrial development.
  • C. Ketterä
    Ketterä is a Finnish ice hockey club based in Imatra, known for competing in the country’s professional league system.
  • 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. Tuusniemi
    Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73430c5a08190aeb6a62eec0f43a3 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.