Triple

T9064380
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Kuopio E217206 entity
Predicate seat P75 FINISHED
Object Kuopio E357411 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: Kuopio | Statement: [Diocese of Kuopio, seat, Kuopio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuopio
Context triple: [Diocese of Kuopio, seat, Kuopio]
  • A. Kuopio chosen
    Kuopio is a city in eastern Finland known for its lakeside setting, vibrant cultural life, and status as a regional center for education and commerce.
  • B. Kouvola
    Kouvola is a city in southeastern Finland known as a regional transport hub and gateway to the nearby Repovesi National Park.
  • C. Kokkola
    Kokkola is a coastal city in western Finland known for its maritime heritage and role as a military and naval hub.
  • D. Oulu
    Oulu is a major city in northern Finland known for its technology industry, university, and position near the Gulf of Bothnia.
  • E. Joensuu
    Joensuu is a city in eastern Finland that serves as a regional center for North Karelia, known for its university, forestry industry, and proximity to lakes and forests.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d61b0c9dec8190af5a38413d4861c2 completed April 8, 2026, 9:08 a.m.
Created at: March 30, 2026, 7:11 p.m.