Triple

T8587829
Position Surface form Disambiguated ID Type / Status
Subject Suonenjoki E203350 entity
Predicate locatedIn P40 FINISHED
Object Savonia E687697 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: Savonia | Statement: [Suonenjoki, locatedIn, Savonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savonia
Context triple: [Suonenjoki, locatedIn, Savonia]
  • A. Savonia chosen
    Savonia is a historical and cultural region in eastern Finland known for its lakes, forests, and distinct Savonian dialect and traditions.
  • B. 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.
  • C. Raisio
    Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
  • D. Pirkanmaa
    Pirkanmaa is a region in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • E. Koillismaa
    Koillismaa is a sparsely populated region in northeastern Finland known for its forests, lakes, and outdoor recreation opportunities.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc457dc76481908ec5ee31ad72e887 completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8a51db0819097ec0f70bee31539 completed April 2, 2026, 5:34 p.m.
Created at: March 30, 2026, 6:23 p.m.