Triple

T22514099
Position Surface form Disambiguated ID Type / Status
Subject World Heritage Sites in Russia E556596 entity
Predicate hasExample P1259 FINISHED
Object Virgin Komi Forests — NE NERFINISHED

How this triple was built (3 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: Virgin Komi Forests | Statement: [World Heritage Sites in Russia, hasExample, Virgin Komi Forests]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Virgin Komi Forests
Context triple: [World Heritage Sites in Russia, hasExample, Virgin Komi Forests]
  • A. Khroumirie forest region
    The Khroumirie forest region is a mountainous, densely wooded area in northwestern Tunisia known for its rich biodiversity, high rainfall, and extensive cork oak and pine forests.
  • B. Karelian forests
    Karelian forests are vast, boreal woodlands in the Karelia region of northwestern Russia and eastern Finland, known for their dense coniferous trees, lakes, and relatively untouched natural landscapes.
  • C. Belavezha Forest
    Belavezha Forest, also known as Białowieża Forest, is one of Europe’s last and largest remaining primeval woodlands, straddling the border of Poland and Belarus and renowned for its ancient trees and population of European bison.
  • D. Šumik Forest Reserve
    Šumik Forest Reserve is a strictly protected old-growth forest area in Slovenia’s Pohorje Massif, known for its pristine spruce–fir–beech woodland and scenic waterfalls on the Lobnica stream.
  • E. Hyrcanian forests
    The Hyrcanian forests are ancient, temperate broadleaf woodlands along the southern coast of the Caspian Sea, renowned for their high biodiversity and many relict tree species dating back to the Tertiary period.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Virgin Komi Forests
Target entity description: Virgin Komi Forests is a vast, largely untouched boreal forest region in Russia recognized by UNESCO for its exceptional natural ecosystems and biodiversity.
  • A. Khroumirie forest region
    The Khroumirie forest region is a mountainous, densely wooded area in northwestern Tunisia known for its rich biodiversity, high rainfall, and extensive cork oak and pine forests.
  • B. Karelian forests
    Karelian forests are vast, boreal woodlands in the Karelia region of northwestern Russia and eastern Finland, known for their dense coniferous trees, lakes, and relatively untouched natural landscapes.
  • C. Belavezha Forest
    Belavezha Forest, also known as Białowieża Forest, is one of Europe’s last and largest remaining primeval woodlands, straddling the border of Poland and Belarus and renowned for its ancient trees and population of European bison.
  • D. Šumik Forest Reserve
    Šumik Forest Reserve is a strictly protected old-growth forest area in Slovenia’s Pohorje Massif, known for its pristine spruce–fir–beech woodland and scenic waterfalls on the Lobnica stream.
  • E. Hyrcanian forests
    The Hyrcanian forests are ancient, temperate broadleaf woodlands along the southern coast of the Caspian Sea, renowned for their high biodiversity and many relict tree species dating back to the Tertiary period.
  • F. None of above. chosen

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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d62bea48190aaf34aa93bb3f67b completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.