Triple

T21840958
Position Surface form Disambiguated ID Type / Status
Subject Voksenkollen E539250 entity
Predicate partOf P40 FINISHED
Object Oslo forested hill belt 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 forested hill belt | Statement: [Voksenkollen, partOf, Oslo forested hill belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo forested hill belt
Context triple: [Voksenkollen, partOf, Oslo forested hill belt]
  • A. 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.
  • B. Ekebergskråningen
    Ekebergskråningen is a hillside residential area in Oslo, Norway, known for its green spaces and views over the city and Oslofjord.
  • C. Kolsås
    Kolsås is a suburban area in Bærum, Norway, known as the endpoint of one of the Oslo Metro lines and for its nearby forested hill popular for hiking and climbing.
  • D. Myraløkka park
    Myraløkka park is a green recreational area in Oslo, Norway, known for its open lawns, sports fields, and riverside setting along the Akerselva in the Sagene district.
  • E. Frognerseteren
    Frognerseteren is a hilltop area in Oslo, Norway, known for its panoramic views over the city, traditional wooden restaurant, and access to popular hiking and skiing 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 forested hill belt
Target entity description: Oslo forested hill belt is a large, wooded highland area surrounding Oslo, known for its extensive hiking trails, ski facilities, and outdoor recreation opportunities.
  • A. 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.
  • B. Ekebergskråningen
    Ekebergskråningen is a hillside residential area in Oslo, Norway, known for its green spaces and views over the city and Oslofjord.
  • C. Kolsås
    Kolsås is a suburban area in Bærum, Norway, known as the endpoint of one of the Oslo Metro lines and for its nearby forested hill popular for hiking and climbing.
  • D. Myraløkka park
    Myraløkka park is a green recreational area in Oslo, Norway, known for its open lawns, sports fields, and riverside setting along the Akerselva in the Sagene district.
  • E. Frognerseteren
    Frognerseteren is a hilltop area in Oslo, Norway, known for its panoramic views over the city, traditional wooden restaurant, and access to popular hiking and skiing 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.