Triple

T14401500
Position Surface form Disambiguated ID Type / Status
Subject Ludic people E357081 entity
Predicate region P40 FINISHED
Object Olonets Karelia E359876 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: Olonets Karelia | Statement: [Ludic people, region, Olonets Karelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olonets Karelia
Context triple: [Ludic people, region, Olonets Karelia]
  • A. Olonets Karelian chosen
    Olonets Karelian is a major dialect of the Karelian language spoken primarily in the Republic of Karelia in northwestern Russia.
  • B. 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.
  • C. White Sea Karelia
    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.
  • D. Beloozero
    Beloozero is a historic town in northwestern Russia, known as one of the oldest Russian settlements and an early center of medieval Rus.
  • E. Kandalaksha
    Kandalaksha is a Russian port town on the Kandalaksha Gulf of the White Sea, known for its Arctic location and nearby nature reserve.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908500048190bb6a20fe318d5c62 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5520c07c8190bfdaf224dd779ced completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.