Triple

T5507745
Position Surface form Disambiguated ID Type / Status
Subject Lemi E144483 entity
Predicate partOf P40 FINISHED
Object South Karelia region E167287 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: South Karelia region | Statement: [Lemi, partOf, South Karelia region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Karelia region
Context triple: [Lemi, partOf, South Karelia region]
  • A. South Karelia chosen
    South Karelia is a region in southeastern Finland known for its lakeside landscapes, including parts of Lake Saimaa, and its proximity to the Russian border.
  • B. North Karelia
    North Karelia is a region in eastern Finland known for its forests, lakes, and strong Karelian cultural heritage.
  • C. South Karelian
    South Karelian is a regional variety of the Karelian language traditionally spoken in the southern parts of the historical Karelia area near southeastern Finland and northwestern Russia.
  • D. North Karelian
    North Karelian is a major dialect of the Karelian language spoken primarily in the northern regions of Karelia, characterized by distinct phonological and lexical features.
  • E. Region of Kainuu
    The Region of Kainuu is an administrative and historical region in eastern Finland known for its vast forests, lakes, and sparsely populated rural municipalities.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f495c588190b0cfe5bfb3d2c221 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cb487408190af6f4f2b3a8543c1 completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:32 p.m.