Triple

T22863177
Position Surface form Disambiguated ID Type / Status
Subject Eilif Peterssen E566978 entity
Predicate memberOf P10 FINISHED
Object Lysakerkretsen 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: Lysakerkretsen | Statement: [Eilif Peterssen, memberOf, Lysakerkretsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysakerkretsen
Context triple: [Eilif Peterssen, memberOf, Lysakerkretsen]
  • A. Sagene district
    Sagene district is a central borough of Oslo, Norway, known for its historic industrial areas, riverside parks, and vibrant urban neighborhoods.
  • B. Lysaker chosen
    Lysaker is a key transport and business hub in the western part of the Oslo metropolitan area in Norway, featuring a major railway and commuter center.
  • C. Bjerke district
    Bjerke district is a residential borough in the northeastern part of Oslo, Norway, known for its mix of apartment blocks, green areas, and local commercial centers.
  • D. Ullensaker
    Ullensaker is a municipality in Viken county, Norway, best known for hosting Oslo Airport, Gardermoen, the country’s main international airport.
  • E. Stovner district
    Stovner district is a residential borough in the northeastern part of Oslo, Norway, known for its diverse population and large housing estates.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eff1c18819081dc9dfc1816f746 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.