Triple

T22683149
Position Surface form Disambiguated ID Type / Status
Subject Groruddalen E560834 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Kalbakken 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: Kalbakken | Statement: [Groruddalen, hasNeighbourhood, Kalbakken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalbakken
Context triple: [Groruddalen, hasNeighbourhood, Kalbakken]
  • A. Kalbakken chosen
    Kalbakken is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green areas, and access to public transportation.
  • B. Bekkelaget
    Bekkelaget is a coastal residential neighborhood in Oslo, Norway, known for its hillside views over the Oslofjord and its traditional wooden houses.
  • C. Bakklandet
    Bakklandet is a historic, picturesque neighborhood in Trondheim, Norway, known for its colorful wooden houses, cobbled streets, and riverside cafés.
  • D. Enebakk
    Enebakk is a rural municipality in Viken county, Norway, known for its forests, lakes, and proximity to the Oslo metropolitan area.
  • E. Laukvik
    Laukvik is a small coastal village in northern Norway, located in the Lofoten archipelago and known for its scenic Arctic landscapes and fishing heritage.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786204d88190a837a5f04e16e94c completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.