Triple

T5729551
Position Surface form Disambiguated ID Type / Status
Subject Grünerløkka E126346 entity
Predicate hasStreet P959 FINISHED
Object Thorvald Meyers gate
Thorvald Meyers gate is a central, bustling main street in Oslo’s Grünerløkka district, known for its cafes, bars, boutiques, and vibrant urban atmosphere.
 E545579 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: Thorvald Meyers gate | Statement: [Grünerløkka, hasStreet, Thorvald Meyers gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thorvald Meyers gate
Context triple: [Grünerløkka, hasStreet, Thorvald Meyers gate]
  • A. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • 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. Danmarks gate
    Danmarks gate is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • D. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • E. 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.
  • 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: Thorvald Meyers gate
Triple: [Grünerløkka, hasStreet, Thorvald Meyers gate]
Generated description
Thorvald Meyers gate is a central, bustling main street in Oslo’s Grünerløkka district, known for its cafes, bars, boutiques, and vibrant urban atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thorvald Meyers gate
Target entity description: Thorvald Meyers gate is a central, bustling main street in Oslo’s Grünerløkka district, known for its cafes, bars, boutiques, and vibrant urban atmosphere.
  • A. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • 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. Danmarks gate
    Danmarks gate is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • D. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • E. 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.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025303860819093e51f176babed71 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dffe45481909eb617e40c83bd14 completed March 22, 2026, 11:40 p.m.
NEDg Description generation batch_69c08e19e7a481909a75c883bead8a35 completed March 23, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69c08e8f59548190a0f938a259e48212 completed March 23, 2026, 12:51 a.m.
Created at: March 22, 2026, 3:47 p.m.