Triple

T5729536
Position Surface form Disambiguated ID Type / Status
Subject Grünerløkka E126346 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Dælenenga
Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
 E545578 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: Dælenenga | Statement: [Grünerløkka, hasNeighbourhood, Dælenenga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dælenenga
Context triple: [Grünerløkka, hasNeighbourhood, Dælenenga]
  • A. Dæhlie
    Dæhlie is a Norwegian surname most famously associated with legendary cross-country skier Bjørn Dæhlie.
  • B. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • C. Lærdalsøyri
    Lærdalsøyri is a historic village in western Norway known for its well-preserved wooden buildings and location at the inner end of the Sognefjord.
  • D. Folldal
    Folldal is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes and historic mining heritage.
  • E. Nelaug
    Nelaug is a small village and railway junction in Agder county, Norway, known for connecting the Arendal Line with the Sørlandet Line.
  • 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: Dælenenga
Triple: [Grünerløkka, hasNeighbourhood, Dælenenga]
Generated description
Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dælenenga
Target entity description: Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
  • A. Dæhlie
    Dæhlie is a Norwegian surname most famously associated with legendary cross-country skier Bjørn Dæhlie.
  • B. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • C. Lærdalsøyri
    Lærdalsøyri is a historic village in western Norway known for its well-preserved wooden buildings and location at the inner end of the Sognefjord.
  • D. Folldal
    Folldal is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes and historic mining heritage.
  • E. Nelaug
    Nelaug is a small village and railway junction in Agder county, Norway, known for connecting the Arendal Line with the Sørlandet Line.
  • 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.