Triple

T23107943
Position Surface form Disambiguated ID Type / Status
Subject Kvadraturen E576228 entity
Predicate contains P35 FINISHED
Object Markens gate
Markens gate is the main pedestrian shopping street and commercial thoroughfare in the Kvadraturen district of Kristiansand, Norway.
 E1571976 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: Markens gate | Statement: [Kvadraturen, contains, Markens gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Markens gate
Context triple: [Kvadraturen, contains, Markens gate]
  • A. Danmarks gate
    Danmarks gate is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • 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. Kongens gate
    Kongens gate is one of the main historic streets in the central district of Trondheim, Norway, known for its shops, services, and traditional urban architecture.
  • D. 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.
  • E. Pløens gate
    Pløens gate is a street in central Oslo, Norway, located near the historic public square Youngstorget.
  • 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: Markens gate
Triple: [Kvadraturen, contains, Markens gate]
Generated description
Markens gate is the main pedestrian shopping street and commercial thoroughfare in the Kvadraturen district of Kristiansand, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Markens gate
Target entity description: Markens gate is the main pedestrian shopping street and commercial thoroughfare in the Kvadraturen district of Kristiansand, Norway.
  • A. Danmarks gate
    Danmarks gate is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • 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. Kongens gate
    Kongens gate is one of the main historic streets in the central district of Trondheim, Norway, known for its shops, services, and traditional urban architecture.
  • D. 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.
  • E. Pløens gate
    Pløens gate is a street in central Oslo, Norway, located near the historic public square Youngstorget.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0c7b9c8190b1160485eae87c9b completed April 29, 2026, 4:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23e7fdec8190a7ac3e8f18e677d8 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271d8fc48190a818c73660218022 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c2951a718819088c1c7d8435586ec completed May 19, 2026, 9:11 a.m.
Created at: April 17, 2026, 3:58 p.m.