Triple

T17370892
Position Surface form Disambiguated ID Type / Status
Subject Hole E422310 entity
Predicate hasSettlement P1068 FINISHED
Object Røyse
Røyse is a village in Hole Municipality in Buskerud, Norway, known for its agricultural landscape and proximity to the Tyrifjorden lake.
 E1265341 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: Røyse | Statement: [Hole, hasSettlement, Røyse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Røyse
Context triple: [Hole, hasSettlement, Røyse]
  • A. Dølen
    Dølen was a 19th-century Norwegian weekly periodical, written in Landsmål by Aasmund Olavsson Vinje, that combined literary works with social and political commentary.
  • B. Hjelset
    Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
  • C. Tjuneroy
    Tjuneroy was an ancient Egyptian official, likely a high-ranking scribe or priest under Ramesses II, associated with the creation of the Saqqara King List.
  • D. Radøy
    Radøy is a large island in Vestland county, Norway, known for its coastal landscapes and rural communities.
  • E. 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.
  • 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: Røyse
Triple: [Hole, hasSettlement, Røyse]
Generated description
Røyse is a village in Hole Municipality in Buskerud, Norway, known for its agricultural landscape and proximity to the Tyrifjorden lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Røyse
Target entity description: Røyse is a village in Hole Municipality in Buskerud, Norway, known for its agricultural landscape and proximity to the Tyrifjorden lake.
  • A. Dølen
    Dølen was a 19th-century Norwegian weekly periodical, written in Landsmål by Aasmund Olavsson Vinje, that combined literary works with social and political commentary.
  • B. Hjelset
    Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
  • C. Tjuneroy
    Tjuneroy was an ancient Egyptian official, likely a high-ranking scribe or priest under Ramesses II, associated with the creation of the Saqqara King List.
  • D. Radøy
    Radøy is a large island in Vestland county, Norway, known for its coastal landscapes and rural communities.
  • E. 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.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a68ff448190b505861e56df5b6d completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019568a27c8190af1bbe6db75f3e6f completed May 11, 2026, 8:38 a.m.
NEDg Description generation batch_6a019b7b645c819087040b18ee447321 completed May 11, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_6a019c8392d8819098317ff88a5c6e06 completed May 11, 2026, 9:08 a.m.
Created at: April 10, 2026, 5:44 a.m.