Triple

T13614391
Position Surface form Disambiguated ID Type / Status
Subject Evje og Hornnes E325273 entity
Predicate hasSettlement P1068 FINISHED
Object Hornnes
Hornnes is a village in Agder county, Norway, situated within the municipality of Evje og Hornnes in the Setesdal valley.
E1052485 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: Hornnes | Statement: [Evje og Hornnes, hasSettlement, Hornnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hornnes
Context triple: [Evje og Hornnes, hasSettlement, Hornnes]
  • A. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • B. Holtaness
    Holtaness is the modest summit that forms the highest natural elevation on the Orkney island of North Ronaldsay in Scotland.
  • C. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • D. Hornodden
    Hornodden is a remote Arctic headland located on the island of Kvitøya in the Svalbard archipelago of Norway.
  • E. Haukland
    Haukland is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic beach and dramatic surrounding mountains.
  • 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: Hornnes
Triple: [Evje og Hornnes, hasSettlement, Hornnes]
Generated description
Hornnes is a village in Agder county, Norway, situated within the municipality of Evje og Hornnes in the Setesdal valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hornnes
Target entity description: Hornnes is a village in Agder county, Norway, situated within the municipality of Evje og Hornnes in the Setesdal valley.
  • A. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • B. Holtaness
    Holtaness is the modest summit that forms the highest natural elevation on the Orkney island of North Ronaldsay in Scotland.
  • C. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • D. Hornodden
    Hornodden is a remote Arctic headland located on the island of Kvitøya in the Svalbard archipelago of Norway.
  • E. Haukland
    Haukland is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic beach and dramatic surrounding mountains.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0abe1208190a1e0a32dc141d836 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae7d6908190836172e955b0d7e8 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd316788190a245e8199f6ac87b completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:50 p.m.