Triple

T21888672
Position Surface form Disambiguated ID Type / Status
Subject Skillebekk E540479 entity
Predicate partOf P40 FINISHED
Object Frogner borough 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: Frogner borough | Statement: [Skillebekk, partOf, Frogner borough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frogner borough
Context triple: [Skillebekk, partOf, Frogner borough]
  • A. Frogner district chosen
    Frogner district is an affluent central borough of Oslo, Norway, known for its historic architecture, embassies, and the famous Frogner Park with the Vigeland sculpture installation.
  • B. Grünerløkka district
    Grünerløkka district is a trendy, centrally located neighborhood in Oslo known for its vibrant street life, cafes, bars, and creative cultural scene.
  • C. Lambertseter neighborhood
    Lambertseter neighborhood is a residential area in Oslo, Norway, known as one of the city’s first planned suburbs with significant post-war housing developments.
  • D. Vestre Aker district
    Vestre Aker district is a largely affluent, residential borough in the western part of Oslo, Norway, known for its green areas and suburban character.
  • E. St. Hanshaugen district
    St. Hanshaugen district is a central borough of Oslo, Norway, known for its large public park, historic architecture, and vibrant urban neighborhoods.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118ee5f1c8190b8c6c431039eb8c9 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.