Triple

T6020672
Position Surface form Disambiguated ID Type / Status
Subject Bjerke district E134053 entity
Predicate hasRoad P959 FINISHED
Object Trondheimsveien
Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
 E560831 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: Trondheimsveien | Statement: [Bjerke district, hasRoad, Trondheimsveien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trondheimsveien
Context triple: [Bjerke district, hasRoad, Trondheimsveien]
  • A. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • B. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • C. Markveien
    Markveien is a well-known street in the Grünerløkka district of Oslo, Norway, noted for its vibrant mix of shops, cafés, and urban culture.
  • D. Akersgata
    Akersgata is a central street in Oslo, Norway, known for running through the city’s political and media district and hosting several important government and newspaper buildings.
  • E. Karl Johan’s Street
    Karl Johan’s Street is the main boulevard in central Oslo, Norway, known for its historic buildings, shops, and role as a popular pedestrian thoroughfare.
  • 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: Trondheimsveien
Triple: [Bjerke district, hasRoad, Trondheimsveien]
Generated description
Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trondheimsveien
Target entity description: Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
  • A. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • B. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • C. Markveien
    Markveien is a well-known street in the Grünerløkka district of Oslo, Norway, noted for its vibrant mix of shops, cafés, and urban culture.
  • D. Akersgata
    Akersgata is a central street in Oslo, Norway, known for running through the city’s political and media district and hosting several important government and newspaper buildings.
  • E. Karl Johan’s Street
    Karl Johan’s Street is the main boulevard in central Oslo, Norway, known for its historic buildings, shops, and role as a popular pedestrian thoroughfare.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fba86a48190984e95d5adf7c7f1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108c2e1c88190a1629c6438f6c8bd completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c1096d5f2881909126730848ca0e78 completed March 23, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_69c10b2699088190a468989beded758e completed March 23, 2026, 9:43 a.m.
Created at: March 22, 2026, 4:07 p.m.