Triple

T8002720
Position Surface form Disambiguated ID Type / Status
Subject Bærum E186288 entity
Predicate contains P35 FINISHED
Object Kolsås hill E146564 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: Kolsås hill | Statement: [Bærum, contains, Kolsås hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolsås hill
Context triple: [Bærum, contains, Kolsås hill]
  • A. Kolsås chosen
    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.
  • 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 ski slope
    Kolsås ski slope is a local alpine skiing and snowboarding area in the Kolsås hill region near Oslo, Norway.
  • D. St. Hanshaugen
    St. Hanshaugen is a central borough of Oslo, Norway, known for its large hillside park and vibrant urban residential areas.
  • 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.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe121b0ac81908b9da58cf14c8df5 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:18 p.m.