Triple

T17457918
Position Surface form Disambiguated ID Type / Status
Subject Lower Telemark E425077 entity
Predicate hasPart P35 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: [Lower Telemark, hasPart, Kragerø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kragerø
Context triple: [Lower Telemark, hasPart, 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4514385e48190b97a257bb3d07d2d completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.