Triple

T21047975
Position Surface form Disambiguated ID Type / Status
Subject Erling Viksjø E518497 entity
Predicate notableWork P4 FINISHED
Object Government Quarter in Oslo 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: Government Quarter in Oslo | Statement: [Erling Viksjø, notableWork, Government Quarter in Oslo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Government Quarter in Oslo
Context triple: [Erling Viksjø, notableWork, Government Quarter in Oslo]
  • A. Akersgata area, Oslo chosen
    Akersgata area in Oslo is a central district known for housing key government buildings and institutions, including Norway’s main government quarter.
  • B. Majorstuen, Oslo
    Majorstuen is a central neighborhood in Oslo, Norway, known for its busy transport hub, shopping streets, and cultural institutions.
  • C. Frogner district
    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.
  • D. Marienlyst, Oslo
    Marienlyst, Oslo is a neighborhood in Norway’s capital city best known as the long-time home of the Norwegian Broadcasting Corporation’s main facilities.
  • E. Sentrum, Oslo
    Sentrum is the central borough of Oslo, Norway, encompassing the city’s main downtown area, key commercial districts, and major transport hubs.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf5b01481909db49aa5be3846aa completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:34 p.m.