Triple

T21171956
Position Surface form Disambiguated ID Type / Status
Subject Nygårdshøyden campus E521711 entity
Predicate locatedNear P294 FINISHED
Object Byparken in Bergen NE NERFINISHED

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: Byparken in Bergen | Statement: [Nygårdshøyden campus, locatedNear, Byparken in Bergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byparken in Bergen
Context triple: [Nygårdshøyden campus, locatedNear, Byparken in Bergen]
  • A. Byparken chosen
    Byparken is the central light rail station and transit hub in downtown Bergen, Norway, serving as a key access point to the city’s urban core.
  • B. Bjørneparken
    Bjørneparken is a Norwegian wildlife and family adventure park known for its bears and other native animals, located in the municipality of Flå.
  • C. Bjølsen Park
    Bjølsen Park is a public green space in the Bjølsen area of Oslo, Norway, known as a local recreational area for residents of the Sagene district.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7271351f08190b609a6c280c9a02a completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.