Triple

T12038195
Position Surface form Disambiguated ID Type / Status
Subject Vinje E286593 entity
Predicate hasPart P35 FINISHED
Object Hardangervidda E98764 NE FINISHED

How this triple was built (2 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: [Vinje, hasPart, Hardangervidda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardangervidda
Context triple: [Vinje, hasPart, Hardangervidda]
  • A. Hardangervidda chosen
    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.
  • B. Finnmarksvidda
    Finnmarksvidda is a vast, sparsely populated Arctic plateau in Norway known for its tundra landscapes, reindeer herding, and extreme winter cold.
  • C. Galdhøpiggen
    Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
  • D. Rondane
    Rondane is a mountainous national park in central Norway known for its high peaks, alpine plateaus, and rich wildlife, including wild reindeer.
  • E. Hardangervidda National Park
    Hardangervidda National Park is Norway’s largest national park, protecting a vast high mountain plateau renowned for its wild reindeer herds, glacial landscapes, and extensive hiking and skiing opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d8a9af881909e28783b0d83ed82 completed May 1, 2026, 12:33 p.m.
Created at: April 8, 2026, 9:47 p.m.