Triple

T22078238
Position Surface form Disambiguated ID Type / Status
Subject Akerselva E545577 entity
Predicate mouthLocatedIn P417 FINISHED
Object Bjrvika
Bjørvika is a waterfront neighborhood and bay in central Oslo, Norway, known for its major urban redevelopment and cultural landmarks like the Oslo Opera House.
 E602693 NE FINISHED

How this triple was built (4 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: Bjrvika | Statement: [Akerselva, mouthLocatedIn, Bjrvika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bjrvika
Context triple: [Akerselva, mouthLocatedIn, Bjrvika]
  • A. Kvernes
    Kvernes is a village and historic parish area in Averøy Municipality in Møre og Romsdal county, Norway, known for its cultural heritage and scenic coastal landscape.
  • B. Skutvik
    Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
  • C. Baljåsen
    Baljåsen is a hill in western Sweden known as the highest natural point in the historical province of Dalsland.
  • D. Vatne
    Vatne is a village in Norway that forms part of the former municipality of Haram in Møre og Romsdal county.
  • E. Pipervika
    Pipervika is a bay and surrounding neighborhood in central Oslo, Norway, situated between the City Hall and the Aker Brygge waterfront district.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bjrvika
Triple: [Akerselva, mouthLocatedIn, Bjrvika]
Generated description
Bjørvika is a waterfront neighborhood and bay in central Oslo, Norway, known for its major urban redevelopment and cultural landmarks like the Oslo Opera House.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bjrvika
Target entity description: Bjørvika is a waterfront neighborhood and bay in central Oslo, Norway, known for its major urban redevelopment and cultural landmarks like the Oslo Opera House.
  • A. Kvernes
    Kvernes is a village and historic parish area in Averøy Municipality in Møre og Romsdal county, Norway, known for its cultural heritage and scenic coastal landscape.
  • B. Skutvik
    Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
  • C. Baljåsen
    Baljåsen is a hill in western Sweden known as the highest natural point in the historical province of Dalsland.
  • D. Vatne
    Vatne is a village in Norway that forms part of the former municipality of Haram in Møre og Romsdal county.
  • E. Pipervika chosen
    Pipervika is a bay and surrounding neighborhood in central Oslo, Norway, situated between the City Hall and the Aker Brygge waterfront district.
  • F. None of above.

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0a80b980408190a35b2816b17cc322 completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a81f51dbc8190a49506d7536d165b completed May 18, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0a82c10ce48190806498221cb55e7b completed May 18, 2026, 3:08 a.m.
Created at: April 16, 2026, 8:28 p.m.