Triple

T1100479
Position Surface form Disambiguated ID Type / Status
Subject Vigeland Sculpture Park E24366 entity
Predicate cityDistrict P2709 FINISHED
Object Frogner E126347 NE FINISHED

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 | Statement: [Vigeland Sculpture Park, cityDistrict, Frogner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frogner
Context triple: [Vigeland Sculpture Park, cityDistrict, Frogner]
  • 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. Ullensaker
    Ullensaker is a municipality in Viken county, Norway, best known for hosting Oslo Airport, Gardermoen, the country’s main international airport.
  • D. Sporveien
    Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
  • 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 (3 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c079f48190a0e0ddda182f7a01 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66293b5c819091eb69db328d5698 completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:43 p.m.