Triple

T14057111
Position Surface form Disambiguated ID Type / Status
Subject Vanløse E338246 entity
Predicate hasShoppingStreet P959 FINISHED
Object Jernbane Allé
Jernbane Allé is a main shopping street in the Copenhagen district of Vanløse, known for its local shops, cafés, and everyday services.
E1079004 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: Jernbane Allé | Statement: [Vanløse, hasShoppingStreet, Jernbane Allé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jernbane Allé
Context triple: [Vanløse, hasShoppingStreet, Jernbane Allé]
  • A. Falkoner Allé
    Falkoner Allé is a major thoroughfare and commercial street in the Copenhagen municipality of Frederiksberg, known for its shops, offices, and cultural venues.
  • B. Toftes gate
    Toftes gate is a notable street in the Grünerløkka district of Oslo, Norway, known for its mix of historic buildings, cafes, and urban neighborhood life.
  • C. Pløens gate
    Pløens gate is a street in central Oslo, Norway, located near the historic public square Youngstorget.
  • 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. Sporveien
    Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
  • 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: Jernbane Allé
Triple: [Vanløse, hasShoppingStreet, Jernbane Allé]
Generated description
Jernbane Allé is a main shopping street in the Copenhagen district of Vanløse, known for its local shops, cafés, and everyday services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jernbane Allé
Target entity description: Jernbane Allé is a main shopping street in the Copenhagen district of Vanløse, known for its local shops, cafés, and everyday services.
  • A. Falkoner Allé
    Falkoner Allé is a major thoroughfare and commercial street in the Copenhagen municipality of Frederiksberg, known for its shops, offices, and cultural venues.
  • B. Toftes gate
    Toftes gate is a notable street in the Grünerløkka district of Oslo, Norway, known for its mix of historic buildings, cafes, and urban neighborhood life.
  • C. Pløens gate
    Pløens gate is a street in central Oslo, Norway, located near the historic public square Youngstorget.
  • 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. Sporveien
    Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6608cf8819087ed5d890b82650a completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc91405888190ba808b2051f57f19 completed May 7, 2026, 5:17 p.m.
NED2 Entity disambiguation (via description) batch_69fcc9be3f448190b2edd96c4159f923 completed May 7, 2026, 5:19 p.m.
Created at: April 9, 2026, 10:20 p.m.