Triple

T21840979
Position Surface form Disambiguated ID Type / Status
Subject Voksenkollen E539250 entity
Predicate isPartOf P10 FINISHED
Object Oslo urban forest fringe 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: Oslo urban forest fringe | Statement: [Voksenkollen, isPartOf, Oslo urban forest fringe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo urban forest fringe
Context triple: [Voksenkollen, isPartOf, Oslo urban forest fringe]
  • A. Marselisborg Forests
    Marselisborg Forests is a large recreational woodland area near Aarhus, Denmark, known for its scenic trails, coastal views, and outdoor leisure activities.
  • B. Heidelberg city forest
    Heidelberg city forest is a large woodland area surrounding the German city of Heidelberg, known for its extensive hiking trails, natural landscapes, and recreational opportunities.
  • C. Eilenriede city forest
    Eilenriede city forest is a vast urban woodland in Hanover, Germany, known as one of Europe’s largest city forests and a major recreational area for residents and visitors.
  • D. Skogvoll nature reserve
    Skogvoll nature reserve is a protected coastal wetland and dune landscape on the island of Andøya in northern Norway, known for its rich birdlife and distinctive Arctic flora.
  • E. Gribskov forest area
    Gribskov forest area is one of Denmark’s largest and oldest woodland regions, known for its diverse natural habitats, historic landscapes, and extensive recreational trails.
  • 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: Oslo urban forest fringe
Target entity description: Oslo urban forest fringe is the semi-natural woodland belt surrounding Oslo that serves as a major recreational area and ecological buffer between the city and the surrounding forests.
  • A. Marselisborg Forests
    Marselisborg Forests is a large recreational woodland area near Aarhus, Denmark, known for its scenic trails, coastal views, and outdoor leisure activities.
  • B. Heidelberg city forest
    Heidelberg city forest is a large woodland area surrounding the German city of Heidelberg, known for its extensive hiking trails, natural landscapes, and recreational opportunities.
  • C. Eilenriede city forest
    Eilenriede city forest is a vast urban woodland in Hanover, Germany, known as one of Europe’s largest city forests and a major recreational area for residents and visitors.
  • D. Skogvoll nature reserve
    Skogvoll nature reserve is a protected coastal wetland and dune landscape on the island of Andøya in northern Norway, known for its rich birdlife and distinctive Arctic flora.
  • E. Gribskov forest area
    Gribskov forest area is one of Denmark’s largest and oldest woodland regions, known for its diverse natural habitats, historic landscapes, and extensive recreational trails.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ab71e081908e3d3293743e6409 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.