Triple

T15663464
Position Surface form Disambiguated ID Type / Status
Subject Sogndal E376625 entity
Predicate hasPart P35 FINISHED
Object Kjørnes
Kjørnes is a residential area and neighborhood within the municipality of Sogndal in Vestland county, Norway.
 E1169837 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: Kjørnes | Statement: [Sogndal, hasPart, Kjørnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kjørnes
Context triple: [Sogndal, hasPart, Kjørnes]
  • A. Jølstra
    Jølstra is a river in Vestland county, Norway, known for flowing from the Jostedalsbreen glacier through lakes and valleys before reaching the fjord.
  • B. Ekornes
    Ekornes is a Norwegian furniture manufacturer best known for its Stressless line of reclining chairs and sofas.
  • C. Klemetsrud
    Klemetsrud is a residential area and neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • D. Bjerke
    Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
  • E. Bjørndal
    Bjørndal is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • 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: Kjørnes
Triple: [Sogndal, hasPart, Kjørnes]
Generated description
Kjørnes is a residential area and neighborhood within the municipality of Sogndal in Vestland county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kjørnes
Target entity description: Kjørnes is a residential area and neighborhood within the municipality of Sogndal in Vestland county, Norway.
  • A. Jølstra
    Jølstra is a river in Vestland county, Norway, known for flowing from the Jostedalsbreen glacier through lakes and valleys before reaching the fjord.
  • B. Ekornes
    Ekornes is a Norwegian furniture manufacturer best known for its Stressless line of reclining chairs and sofas.
  • C. Klemetsrud
    Klemetsrud is a residential area and neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • D. Bjerke
    Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
  • E. Bjørndal
    Bjørndal is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679ff4648190a2f05d6445fa59df completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68af38848190975e374b2c8c917b completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:16 a.m.