Triple

T5790648
Position Surface form Disambiguated ID Type / Status
Subject Gamle Oslo E128382 entity
Predicate containsWaterfrontArea P19053 FINISHED
Object Bispevika
Bispevika is a redeveloped waterfront district in Oslo, Norway, featuring modern residential, commercial, and cultural spaces along the city’s inner harbor.
 E557818 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: Bispevika | Statement: [Gamle Oslo, containsWaterfrontArea, Bispevika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bispevika
Context triple: [Gamle Oslo, containsWaterfrontArea, Bispevika]
  • A. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • B. Barøya
    Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
  • C. Honningsvåg
    Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
  • D. Bjørkøya
    Bjørkøya is an island located in the lake Norsjø in Telemark, Norway, known for its natural scenery and recreational use.
  • E. Rolløya
    Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
  • 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: Bispevika
Triple: [Gamle Oslo, containsWaterfrontArea, Bispevika]
Generated description
Bispevika is a redeveloped waterfront district in Oslo, Norway, featuring modern residential, commercial, and cultural spaces along the city’s inner harbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bispevika
Target entity description: Bispevika is a redeveloped waterfront district in Oslo, Norway, featuring modern residential, commercial, and cultural spaces along the city’s inner harbor.
  • A. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • B. Barøya
    Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
  • C. Honningsvåg
    Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
  • D. Bjørkøya
    Bjørkøya is an island located in the lake Norsjø in Telemark, Norway, known for its natural scenery and recreational use.
  • E. Rolløya
    Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
  • F. None of above. chosen

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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03360749481908d42fde7a74a754f completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e352c74481909e74fa0a2607b44d completed March 23, 2026, 6:53 a.m.
NEDg Description generation batch_69c0f1282148819086b9f1c24dcb0a46 completed March 23, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69c0f1a171c481909a897f342b6d6329 completed March 23, 2026, 7:54 a.m.
Created at: March 22, 2026, 3:51 p.m.