Triple

T14501492
Position Surface form Disambiguated ID Type / Status
Subject Gausdal E359649 entity
Predicate borders P224 FINISHED
Object Øystre Slidre E435024 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: Øystre Slidre | Statement: [Gausdal, borders, Øystre Slidre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Øystre Slidre
Context triple: [Gausdal, borders, Øystre Slidre]
  • A. Øystre Slidre chosen
    Øystre Slidre is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, lakes, and traditional Norwegian cultural heritage.
  • B. Vestre Slidre
    Vestre Slidre is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic churches, and scenic Valdres valley setting.
  • C. Finnsnes
    Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
  • D. Glåma
    Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
  • E. Stryn
    Stryn is a municipality in Vestland county, Norway, known for its dramatic fjord and mountain landscapes, glaciers, and popular outdoor tourism activities.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e837dc8190b72d56d60ba386e8 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:21 a.m.