Triple

T22387566
Position Surface form Disambiguated ID Type / Status
Subject Grefsen E553432 entity
Predicate hasNearbyHill P7612 FINISHED
Object Grefsenkollen 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: Grefsenkollen | Statement: [Grefsen, hasNearbyHill, Grefsenkollen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grefsenkollen
Context triple: [Grefsen, hasNearbyHill, Grefsenkollen]
  • A. Gravberget
    Gravberget is a small rural settlement in Våler municipality in Innlandet county, Norway, known for its forested surroundings and traditional Norwegian countryside character.
  • B. Kvernberget
    Kvernberget is a hill and surrounding area in Kristiansund, Norway, known for giving its name to the nearby regional airport.
  • C. Sköllersta
    Sköllersta is a locality in central Sweden situated within Örebro County, known as one of the settlements in Hallsberg Municipality.
  • D. Dalsgrenda
    Dalsgrenda is a small settlement located within Rana Municipality in Nordland county, Norway.
  • E. Brunkebergsåsen
    Brunkebergsåsen is a prominent esker (glacial ridge) in central Stockholm that has significantly shaped the city’s topography and urban development.
  • 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: Grefsenkollen
Target entity description: Grefsenkollen is a prominent forested hill and viewpoint in Oslo, Norway, known for its panoramic city views, hiking trails, and recreational facilities.
  • A. Gravberget
    Gravberget is a small rural settlement in Våler municipality in Innlandet county, Norway, known for its forested surroundings and traditional Norwegian countryside character.
  • B. Kvernberget
    Kvernberget is a hill and surrounding area in Kristiansund, Norway, known for giving its name to the nearby regional airport.
  • C. Sköllersta
    Sköllersta is a locality in central Sweden situated within Örebro County, known as one of the settlements in Hallsberg Municipality.
  • D. Dalsgrenda
    Dalsgrenda is a small settlement located within Rana Municipality in Nordland county, Norway.
  • E. Brunkebergsåsen
    Brunkebergsåsen is a prominent esker (glacial ridge) in central Stockholm that has significantly shaped the city’s topography and urban development.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15857fb588190b8180963aedd69c0 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.