Triple

T22078417
Position Surface form Disambiguated ID Type / Status
Subject Vika E545581 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Aker Brygge waterfront 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: Aker Brygge waterfront | Statement: [Vika, hasNearbyLandmark, Aker Brygge waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aker Brygge waterfront
Context triple: [Vika, hasNearbyLandmark, Aker Brygge waterfront]
  • A. Aker Brygge chosen
    Aker Brygge is a popular waterfront district in Oslo known for its modern architecture, restaurants, shops, and vibrant harbor promenade.
  • B. Fredrikstad waterfront
    Fredrikstad waterfront is a scenic urban riverside area in the Norwegian city of Fredrikstad, known for its historic architecture, promenades, and views along the Glomma River.
  • C. Lyngseidet
    Lyngseidet is a small coastal village in northern Norway, known for its scenic fjord and mountain surroundings on the Lyngen Peninsula.
  • D. Kalvebod Brygge
    Kalvebod Brygge is a waterfront area in central Copenhagen known for its modern architecture, office buildings, and harborside promenades along the inner harbor.
  • E. Union Brygge
    Union Brygge is a modern riverside district in Drammen, Norway, known for its cultural venues, contemporary architecture, and urban redevelopment along the Drammen River.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b43df0819090c248ded98fad12 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.