Triple

T14601581
Position Surface form Disambiguated ID Type / Status
Subject Ringsaker E342716 entity
Predicate hasSettlement P1068 FINISHED
Object Gaupen
Gaupen is a small village in Ringsaker Municipality in Innlandet county, Norway.
E1108824 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: Gaupen | Statement: [Ringsaker, hasSettlement, Gaupen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaupen
Context triple: [Ringsaker, hasSettlement, Gaupen]
  • A. Gokana
    Gokana is an ethnic subgroup of the Ogoni people in Nigeria, known for its distinct language and cultural traditions within the Niger Delta region.
  • B. Dverberg
    Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
  • C. Gullaug
    Gullaug is a small settlement in the municipality of Lier in Viken county, Norway, known for its residential character and proximity to the Drammen region.
  • D. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • E. Bergharen
    Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
  • 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: Gaupen
Triple: [Ringsaker, hasSettlement, Gaupen]
Generated description
Gaupen is a small village in Ringsaker Municipality in Innlandet county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gaupen
Target entity description: Gaupen is a small village in Ringsaker Municipality in Innlandet county, Norway.
  • A. Gokana
    Gokana is an ethnic subgroup of the Ogoni people in Nigeria, known for its distinct language and cultural traditions within the Niger Delta region.
  • B. Dverberg
    Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
  • C. Gullaug
    Gullaug is a small settlement in the municipality of Lier in Viken county, Norway, known for its residential character and proximity to the Drammen region.
  • D. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • E. Bergharen
    Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd973985b881908f0c2fd201db8104 completed May 8, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69fd9843857c819089eb96564b8a9503 completed May 8, 2026, 8:01 a.m.
Created at: April 10, 2026, 1:25 a.m.