Triple

T14307021
Position Surface form Disambiguated ID Type / Status
Subject Sør-Aurdal E354723 entity
Predicate borderedBy P224 FINISHED
Object Flå
Flå is a small rural municipality in Viken county, Norway, known for its forested landscapes, outdoor recreation, and location in the Hallingdal valley.
 E422314 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: Flå | Statement: [Sør-Aurdal, borderedBy, Flå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flå
Context triple: [Sør-Aurdal, borderedBy, Flå]
  • A. Flå
    Flå is a small rural municipality in Viken county, Norway, known for its forested landscapes, outdoor recreation, and location in the Hallingdal valley.
  • B. Flørli
    Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
  • C. Fløgstad
    Fløgstad is a Norwegian surname most notably borne by the writer Kjartan Fløgstad.
  • D. Finnås
    Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
  • E. Faluån
    Faluån is a small river in central Sweden that flows through the town of Falun, historically associated with the region’s mining industry and landscape.
  • 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: Flå
Triple: [Sør-Aurdal, borderedBy, Flå]
Generated description
Flå is a small rural municipality in Viken county, Norway, known for its forested landscapes, outdoor recreation, and location in the Hallingdal valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flå
Target entity description: Flå is a small rural municipality in Viken county, Norway, known for its forested landscapes, outdoor recreation, and location in the Hallingdal valley.
  • A. Flå chosen
    Flå is a small rural municipality in Viken county, Norway, known for its forested landscapes, outdoor recreation, and location in the Hallingdal valley.
  • B. Flørli
    Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
  • C. Fløgstad
    Fløgstad is a Norwegian surname most notably borne by the writer Kjartan Fløgstad.
  • D. Finnås
    Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
  • E. Faluån
    Faluån is a small river in central Sweden that flows through the town of Falun, historically associated with the region’s mining industry and landscape.
  • F. None of above.

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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b156b0819083f2bd319deed1b6 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2c32648190bc8bb26d57df57f5 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3e3d3e2c81909945253c26e19cee completed May 8, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69fd3ebe4f008190aec72ed7e23c4cd4 completed May 8, 2026, 1:39 a.m.
Created at: April 10, 2026, 1:12 a.m.