Triple

T21660924
Position Surface form Disambiguated ID Type / Status
Subject Kragerø archipelago E534591 entity
Predicate nearbyCity P350 FINISHED
Object Kragerø 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: Kragerø | Statement: [Kragerø archipelago, nearbyCity, Kragerø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kragerø
Context triple: [Kragerø archipelago, nearbyCity, Kragerø]
  • A. Kragerø chosen
    Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
  • B. Ekkerøy
    Ekkerøy is a small coastal village and former island in northern Norway known for its rich birdlife, sandy beaches, and preserved fishing heritage.
  • C. Risør
    Risør is a small coastal town in southern Norway known for its well-preserved wooden houses, maritime heritage, and annual wooden boat festival.
  • D. Austevoll
    Austevoll is a Norwegian island municipality known for its fishing industry and scenic coastal landscape, located off the west coast in the former county of Hordaland.
  • E. Røyrvik
    Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c07bcb88190a9864672c20325ff completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.