Triple

T5652602
Position Surface form Disambiguated ID Type / Status
Subject Vålerenga E124539 entity
Predicate hasStreet P959 FINISHED
Object Danmarks gate
Danmarks gate is a street located in the Vålerenga neighborhood of Oslo, Norway.
E537569 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: Danmarks gate | Statement: [Vålerenga, hasStreet, Danmarks gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danmarks gate
Context triple: [Vålerenga, hasStreet, Danmarks gate]
  • A. Kongen’s Gade
    Kongen’s Gade is a notable street in Charlotte Amalie, Saint Thomas, U.S. Virgin Islands, known for its historic buildings and governmental institutions.
  • B. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • C. Frederiksgade
    Frederiksgade is a prominent street in central Copenhagen that forms part of the grand axial approach to Amalienborg Palace and the Marble Church.
  • D. Købmagergade
    Købmagergade is a central pedestrian shopping street in Copenhagen, Denmark, known for its historic buildings and popular retail stores.
  • E. Kongens Nytorv
    Kongens Nytorv is a historic central square in Copenhagen known for its grand architecture, cultural institutions, and role as a major urban hub.
  • 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: Danmarks gate
Triple: [Vålerenga, hasStreet, Danmarks gate]
Generated description
Danmarks gate is a street located in the Vålerenga neighborhood of Oslo, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danmarks gate
Target entity description: Danmarks gate is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • A. Kongen’s Gade
    Kongen’s Gade is a notable street in Charlotte Amalie, Saint Thomas, U.S. Virgin Islands, known for its historic buildings and governmental institutions.
  • B. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • C. Frederiksgade
    Frederiksgade is a prominent street in central Copenhagen that forms part of the grand axial approach to Amalienborg Palace and the Marble Church.
  • D. Købmagergade
    Købmagergade is a central pedestrian shopping street in Copenhagen, Denmark, known for its historic buildings and popular retail stores.
  • E. Kongens Nytorv
    Kongens Nytorv is a historic central square in Copenhagen known for its grand architecture, cultural institutions, and role as a major urban hub.
  • 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_69c04d97b8dc8190865ff55071954b30 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ede30088190a70607458f4653d0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb365cc8190b825f7c1d66aee0f completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.