Triple

T6156321
Position Surface form Disambiguated ID Type / Status
Subject Majorstuen E137329 entity
Predicate hasStreet P959 FINISHED
Object Bogstadveien
Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
 E575527 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: Bogstadveien | Statement: [Majorstuen, hasStreet, Bogstadveien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bogstadveien
Context triple: [Majorstuen, hasStreet, Bogstadveien]
  • A. Trondheimsveien
    Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
  • B. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • C. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • D. Nordre gate
    Nordre gate is a central pedestrian shopping street in Trondheim, Norway, known for its stores, cafés, and vibrant urban life.
  • E. 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.
  • 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: Bogstadveien
Triple: [Majorstuen, hasStreet, Bogstadveien]
Generated description
Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bogstadveien
Target entity description: Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
  • A. Trondheimsveien
    Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
  • B. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • C. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • D. Nordre gate
    Nordre gate is a central pedestrian shopping street in Trondheim, Norway, known for its stores, cafés, and vibrant urban life.
  • E. 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.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d0376408190a2233375f478377e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16edb92048190ba47571e28db3cb6 completed March 23, 2026, 4:48 p.m.
NEDg Description generation batch_69c1bfe63d708190b734c064bdf0d735 completed March 23, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69c1c3f2b1388190bef6fe203f11fa3f completed March 23, 2026, 10:51 p.m.
Created at: March 22, 2026, 4:17 p.m.