Triple

T18406582
Position Surface form Disambiguated ID Type / Status
Subject Kinship Wars E441639 entity
Predicate hasLocation P40 FINISHED
Object Aunus Karelia 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: Aunus Karelia | Statement: [Kinship Wars, hasLocation, Aunus Karelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aunus Karelia
Context triple: [Kinship Wars, hasLocation, Aunus Karelia]
  • A. Karelia
    Karelia is a historical and cultural region of northern Europe, spanning areas of present-day Finland and Russia and known for its distinct Karelian people, language, and forested lake landscapes.
  • B. Olonets Karelian
    Olonets Karelian is a major dialect of the Karelian language spoken primarily in the Republic of Karelia in northwestern Russia.
  • C. Ladoga Karelia
    Ladoga Karelia is a historical region in southeastern Finland, bordering Lake Ladoga, that was ceded to the Soviet Union after the Winter War.
  • D. White Sea Karelia chosen
    White Sea Karelia is a coastal region of Karelia in northwestern Russia, characterized by its location along the White Sea and its sparsely populated, forested and maritime landscapes.
  • 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 (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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51957ac7081909a2dd2b2308e4170 completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.