Triple

T15762834
Position Surface form Disambiguated ID Type / Status
Subject Hemnes E382140 entity
Predicate administrativeCentre P1474 FINISHED
Object Korgen
Korgen is a village in Nordland county, Norway, known as the main local hub for services and administration in the municipality of Hemnes.
E1176037 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: Korgen | Statement: [Hemnes, administrativeCentre, Korgen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korgen
Context triple: [Hemnes, administrativeCentre, Korgen]
  • A. Kemper
    Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
  • B. Hauerland
    Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
  • C. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • D. Kroll
    Kroll is a surname most notably associated with Colin Kroll, the American entrepreneur and co-founder of Vine and HQ Trivia.
  • E. Rauland
    Rauland is a village and popular mountain resort area in Vinje Municipality in Vestfold og Telemark county, Norway, known for its skiing, cabins, and outdoor recreation.
  • 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: Korgen
Triple: [Hemnes, administrativeCentre, Korgen]
Generated description
Korgen is a village in Nordland county, Norway, known as the main local hub for services and administration in the municipality of Hemnes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Korgen
Target entity description: Korgen is a village in Nordland county, Norway, known as the main local hub for services and administration in the municipality of Hemnes.
  • A. Kemper
    Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
  • B. Hauerland
    Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
  • C. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • D. Kroll
    Kroll is a surname most notably associated with Colin Kroll, the American entrepreneur and co-founder of Vine and HQ Trivia.
  • E. Rauland
    Rauland is a village and popular mountain resort area in Vinje Municipality in Vestfold og Telemark county, Norway, known for its skiing, cabins, and outdoor recreation.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8776c2488190ad27fd79e2ce4e14 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b6c44d081908e35ca17b5ce2189 completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8ca1c1f08190aeb6f7421d54c2de completed May 9, 2026, 7:36 p.m.
Created at: April 10, 2026, 4:47 a.m.