Triple

T19397411
Position Surface form Disambiguated ID Type / Status
Subject Slidrefjorden E485227 entity
Predicate locatedInMunicipality P40 FINISHED
Object Vestre Slidre NE NERFINISHED

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: Vestre Slidre | Statement: [Slidrefjorden, locatedInMunicipality, Vestre Slidre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vestre Slidre
Context triple: [Slidrefjorden, locatedInMunicipality, Vestre Slidre]
  • A. Vestre Slidre chosen
    Vestre Slidre is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic churches, and scenic Valdres valley setting.
  • B. Øystre Slidre
    Øystre Slidre is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, lakes, and traditional Norwegian cultural heritage.
  • C. Sørreisa
    Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
  • D. Finnsnes
    Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
  • 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 (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62574edd08190b5456108d5e3907e completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.