Triple

T3579229
Position Surface form Disambiguated ID Type / Status
Subject Lysefjord E75760 entity
Predicate terminusNear P1866 FINISHED
Object Lysebotn
Lysebotn is a small village at the innermost end of Norway’s Lysefjord, known as a gateway to famous hiking destinations like Kjerag and Preikestolen.
E393076 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: Lysebotn | Statement: [Lysefjord, terminusNear, Lysebotn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysebotn
Context triple: [Lysefjord, terminusNear, Lysebotn]
  • A. Lofthus
    Lofthus is a village in Norway’s Hardanger region, known for its fruit orchards, fjord scenery, and role as a gateway to hiking routes like the Hardangervidda plateau.
  • B. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • C. Bjørvika
    Bjørvika is a waterfront neighborhood in central Oslo, Norway, known for its modern architecture and cultural institutions such as the Munch Museum and the Oslo Opera House.
  • D. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • E. Kjelsås
    Kjelsås is a residential neighborhood in northern Oslo, Norway, known for its hilly terrain, proximity to Marka forest, and access to the city via tram and rail connections.
  • 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: Lysebotn
Triple: [Lysefjord, terminusNear, Lysebotn]
Generated description
Lysebotn is a small village at the innermost end of Norway’s Lysefjord, known as a gateway to famous hiking destinations like Kjerag and Preikestolen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lysebotn
Target entity description: Lysebotn is a small village at the innermost end of Norway’s Lysefjord, known as a gateway to famous hiking destinations like Kjerag and Preikestolen.
  • A. Lofthus
    Lofthus is a village in Norway’s Hardanger region, known for its fruit orchards, fjord scenery, and role as a gateway to hiking routes like the Hardangervidda plateau.
  • B. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • C. Bjørvika
    Bjørvika is a waterfront neighborhood in central Oslo, Norway, known for its modern architecture and cultural institutions such as the Munch Museum and the Oslo Opera House.
  • D. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • E. Kjelsås
    Kjelsås is a residential neighborhood in northern Oslo, Norway, known for its hilly terrain, proximity to Marka forest, and access to the city via tram and rail connections.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0defe14819095a337a840e33300 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503dbed588190abe9ca45b1ff68f8 completed March 14, 2026, 6:44 a.m.
NEDg Description generation batch_69b507a2a1bc819080843ed3cbb132cb completed March 14, 2026, 7 a.m.
NED2 Entity disambiguation (via description) batch_69b5090e87d881908c2e84f4a6402113 completed March 14, 2026, 7:06 a.m.
Created at: March 8, 2026, 3:21 p.m.