Triple

T786472
Position Surface form Disambiguated ID Type / Status
Subject Eastern Norway E16813 entity
Predicate containsPartOf P1393 FINISHED
Object Hardangervidda
Hardangervidda is a vast mountain plateau in southern Norway known for its rugged landscapes, extensive hiking trails, and one of Europe’s largest wild reindeer herds.
E98764 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: Hardangervidda | Statement: [Eastern Norway, containsPartOf, Hardangervidda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardangervidda
Context triple: [Eastern Norway, containsPartOf, Hardangervidda]
  • A. Finnmarksvidda
    Finnmarksvidda is a vast, sparsely populated Arctic plateau in Norway known for its tundra landscapes, reindeer herding, and extreme winter cold.
  • B. Galdhøpiggen
    Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
  • C. Rondane
    Rondane is a mountainous national park in central Norway known for its high peaks, alpine plateaus, and rich wildlife, including wild reindeer.
  • D. Gunnbjørn Fjeld
    Gunnbjørn Fjeld is the tallest mountain in the Arctic and a prominent peak of Greenland’s remote ice-covered interior.
  • E. Hovdetoppen
    Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
  • 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: Hardangervidda
Triple: [Eastern Norway, containsPartOf, Hardangervidda]
Generated description
Hardangervidda is a vast mountain plateau in southern Norway known for its rugged landscapes, extensive hiking trails, and one of Europe’s largest wild reindeer herds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hardangervidda
Target entity description: Hardangervidda is a vast mountain plateau in southern Norway known for its rugged landscapes, extensive hiking trails, and one of Europe’s largest wild reindeer herds.
  • A. Finnmarksvidda
    Finnmarksvidda is a vast, sparsely populated Arctic plateau in Norway known for its tundra landscapes, reindeer herding, and extreme winter cold.
  • B. Galdhøpiggen
    Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
  • C. Rondane
    Rondane is a mountainous national park in central Norway known for its high peaks, alpine plateaus, and rich wildlife, including wild reindeer.
  • D. Gunnbjørn Fjeld
    Gunnbjørn Fjeld is the tallest mountain in the Arctic and a prominent peak of Greenland’s remote ice-covered interior.
  • E. Hovdetoppen
    Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79286e8b88190887def813bc65d95 completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a792edde248190859bbef2b50c39a0 completed March 4, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69a79342d4108190831131e85f2886c8 completed March 4, 2026, 2:04 a.m.
Created at: March 1, 2026, 7:38 p.m.