Triple

T12038180
Position Surface form Disambiguated ID Type / Status
Subject Vinje E286593 entity
Predicate containsSettlement P847 FINISHED
Object Åmot
Åmot is a small village in Vinje Municipality in Vestfold og Telemark county, Norway, known for its rural setting in the mountainous Telemark region.
E963541 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: Åmot | Statement: [Vinje, containsSettlement, Åmot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Åmot
Context triple: [Vinje, containsSettlement, Åmot]
  • A. Åmot
    Åmot is a rural municipality in Innlandet county in eastern Norway, known for its forests, rivers, and outdoor recreation.
  • B. Andrott
    Andrott is a major inhabited island and urban center in the Lakshadweep archipelago of India, known for its dense population and traditional coastal communities.
  • C. Andom
    Andom is a surname most notably associated with Aman Andom, an Ethiopian military officer and former head of state.
  • D. Åshammar
    Åshammar is a small locality in central Sweden situated within Gävleborg County.
  • E. Åmli
    Åmli is a rural municipality in Agder county in southern Norway, known for its forested landscapes, rivers, and outdoor recreation opportunities.
  • 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: Åmot
Triple: [Vinje, containsSettlement, Åmot]
Generated description
Åmot is a small village in Vinje Municipality in Vestfold og Telemark county, Norway, known for its rural setting in the mountainous Telemark region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Åmot
Target entity description: Åmot is a small village in Vinje Municipality in Vestfold og Telemark county, Norway, known for its rural setting in the mountainous Telemark region.
  • A. Åmot
    Åmot is a rural municipality in Innlandet county in eastern Norway, known for its forests, rivers, and outdoor recreation.
  • B. Andrott
    Andrott is a major inhabited island and urban center in the Lakshadweep archipelago of India, known for its dense population and traditional coastal communities.
  • C. Andom
    Andom is a surname most notably associated with Aman Andom, an Ethiopian military officer and former head of state.
  • D. Åshammar
    Åshammar is a small locality in central Sweden situated within Gävleborg County.
  • E. Åmli
    Åmli is a rural municipality in Agder county in southern Norway, known for its forested landscapes, rivers, and outdoor recreation opportunities.
  • 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_69f5f64826a481908a09ca1c91c4e04f completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fde880f4819094b2170bf4e82138 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc563a08190b95db768df475a3a completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:47 p.m.