Triple

T5652601
Position Surface form Disambiguated ID Type / Status
Subject Vålerenga E124539 entity
Predicate hasStreet P959 FINISHED
Object Hedmarksgata
Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
 E542399 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: Hedmarksgata | Statement: [Vålerenga, hasStreet, Hedmarksgata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hedmarksgata
Context triple: [Vålerenga, hasStreet, Hedmarksgata]
  • 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. 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.
  • C. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • D. Birger Jarlsgatan
    Birger Jarlsgatan is a major central street in Stockholm, Sweden, known for its upscale shops, offices, and role as a key thoroughfare through the Östermalm district.
  • E. Nybrogatan
    Nybrogatan is a prominent street in Stockholm’s upscale Östermalm district, known for its boutiques, restaurants, and vibrant city life.
  • 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: Hedmarksgata
Triple: [Vålerenga, hasStreet, Hedmarksgata]
Generated description
Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hedmarksgata
Target entity description: Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • 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. 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.
  • C. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • D. 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.
  • E. Birger Jarlsgatan
    Birger Jarlsgatan is a major central street in Stockholm, Sweden, known for its upscale shops, offices, and role as a key thoroughfare through the Östermalm district.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d8a2588190b10de59edbc8841f completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a255f348190abe3c09fe0b38f45 completed March 22, 2026, 9:07 p.m.
NEDg Description generation batch_69c05be7f7cc8190bb1f8081289c5e02 completed March 22, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69c06209c3588190a6ededf9c198d5c5 completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:42 p.m.