Triple

T9539633
Position Surface form Disambiguated ID Type / Status
Subject Sukevan vankila E230114 entity
Predicate region P40 FINISHED
Object North Savo E310441 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: North Savo | Statement: [Sukevan vankila, region, North Savo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Savo
Context triple: [Sukevan vankila, region, North Savo]
  • A. Pohjois-Savo
    Pohjois-Savo is a region in Eastern Finland known for its lakes, forests, and the regional center city of Kuopio.
  • B. Kainuu region
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • C. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • D. Satakunta
    Satakunta is a historical province and region on the western coast of Finland, known for its industrial heritage, coastal landscapes, and the city of Pori.
  • E. Northern Savonia chosen
    Northern Savonia is a region in eastern Finland known for its lakes, forests, and the city of Kuopio as its main urban center.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e4df6c8190a4d1160c42daa45f completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e6968aec8190a9d1e51ac7e87853 completed April 21, 2026, 2:53 a.m.
Created at: March 30, 2026, 8:01 p.m.