Triple

T15216543
Position Surface form Disambiguated ID Type / Status
Subject Fløibanen E363650 entity
Predicate intermediateStation P24280 FINISHED
Object Fløysvingene
Fløysvingene is an intermediate stop on the Fløibanen funicular in Bergen, Norway, serving hikers and visitors heading into the surrounding hillside trails.
 E1163277 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: Fløysvingene | Statement: [Fløibanen, intermediateStation, Fløysvingene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fløysvingene
Context triple: [Fløibanen, intermediateStation, Fløysvingene]
  • A. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • B. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • C. Fosnes
    Fosnes was a former rural municipality in Trøndelag county, Norway, known for its coastal landscape and small, dispersed population.
  • D. Hjelteryggen
    Hjelteryggen is a small settlement located in Fjell municipality in Vestland county on the western coast of Norway.
  • E. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • 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: Fløysvingene
Triple: [Fløibanen, intermediateStation, Fløysvingene]
Generated description
Fløysvingene is an intermediate stop on the Fløibanen funicular in Bergen, Norway, serving hikers and visitors heading into the surrounding hillside trails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fløysvingene
Target entity description: Fløysvingene is an intermediate stop on the Fløibanen funicular in Bergen, Norway, serving hikers and visitors heading into the surrounding hillside trails.
  • A. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • B. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • C. Fosnes
    Fosnes was a former rural municipality in Trøndelag county, Norway, known for its coastal landscape and small, dispersed population.
  • D. Hjelteryggen
    Hjelteryggen is a small settlement located in Fjell municipality in Vestland county on the western coast of Norway.
  • E. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4542d4308190bebf13dff1ebfe08 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff46c9b1cc81909b07dea0dbd096fa completed May 9, 2026, 2:38 p.m.
NED2 Entity disambiguation (via description) batch_69ff473c46ac81909538c58ccc993ae1 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 3:11 a.m.