Triple

T12038186
Position Surface form Disambiguated ID Type / Status
Subject Vinje E286593 entity
Predicate containsSettlement P847 FINISHED
Object Møsstrond
Møsstrond is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway, known for its lakes, forests, and traditional Norwegian countryside.
E982679 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: Møsstrond | Statement: [Vinje, containsSettlement, Møsstrond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Møsstrond
Context triple: [Vinje, containsSettlement, Møsstrond]
  • A. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • B. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • C. Brårud
    Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
  • D. Tingvoll
    Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
  • E. Malmøya
    Malmøya is a notable island in the Oslofjord known for its natural landscapes and recreational areas near 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: Møsstrond
Triple: [Vinje, containsSettlement, Møsstrond]
Generated description
Møsstrond is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway, known for its lakes, forests, and traditional Norwegian countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Møsstrond
Target entity description: Møsstrond is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway, known for its lakes, forests, and traditional Norwegian countryside.
  • A. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • B. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • C. Brårud
    Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
  • D. Tingvoll
    Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
  • E. Malmøya
    Malmøya is a notable island in the Oslofjord known for its natural landscapes and recreational areas near 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345319808190a68195e215c2bd80 completed May 2, 2026, 5:28 p.m.
NEDg Description generation batch_69f63674aa3c81908ba82a9d246b3b3a completed May 2, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69f63a9b32fc8190ab98492ff91d2a66 completed May 2, 2026, 5:55 p.m.
Created at: April 8, 2026, 9:47 p.m.