Triple

T6193656
Position Surface form Disambiguated ID Type / Status
Subject Kristiansand E138455 entity
Predicate hasDistrict P459 FINISHED
Object Søgne
Søgne is a coastal district and former municipality in Southern Norway, now part of the city of Kristiansand in Agder county.
E642945 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: Søgne | Statement: [Kristiansand, hasDistrict, Søgne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Søgne
Context triple: [Kristiansand, hasDistrict, Søgne]
  • A. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • B. Kragerø
    Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
  • C. Haugesund
    Haugesund is a coastal city in southwestern Norway known for its maritime heritage, shipbuilding industry, and annual film and jazz festivals.
  • D. Sogndal
    Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
  • E. Solør
    Solør is a traditional district in Eastern Norway known for its rural landscapes, forestry, and agriculture.
  • 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: Søgne
Triple: [Kristiansand, hasDistrict, Søgne]
Generated description
Søgne is a coastal district and former municipality in Southern Norway, now part of the city of Kristiansand in Agder county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Søgne
Target entity description: Søgne is a coastal district and former municipality in Southern Norway, now part of the city of Kristiansand in Agder county.
  • A. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • B. Kragerø
    Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
  • C. Haugesund
    Haugesund is a coastal city in southwestern Norway known for its maritime heritage, shipbuilding industry, and annual film and jazz festivals.
  • D. Sogndal
    Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
  • E. Solør
    Solør is a traditional district in Eastern Norway known for its rural landscapes, forestry, and agriculture.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062431ae88190a1bf6ca91f3dc690 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c6ec470819088f16fd762d3c7d7 completed March 28, 2026, 9:16 a.m.
NEDg Description generation batch_69c7a08c55688190899a68f257e42d93 completed March 28, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_69c7a0f02dfc8190b49a828245dd226a completed March 28, 2026, 9:35 a.m.
Created at: March 22, 2026, 4:19 p.m.