Triple

T4657830
Position Surface form Disambiguated ID Type / Status
Subject Hedmark E102451 entity
Predicate hasMunicipality P847 FINISHED
Object Åsnes
Åsnes is a rural municipality in Innlandet county in eastern Norway, known for its forests, agriculture, and location in the traditional region of Solør.
E482368 NE FINISHED

How this triple was built (4 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: Åsnes | Statement: [Hedmark, hasMunicipality, Åsnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Åsnes
Context triple: [Hedmark, hasMunicipality, Åsnes]
  • A. Tvedestrand
    Tvedestrand is a coastal town and municipality in southern Norway known for its wooden houses, maritime heritage, and picturesque archipelago.
  • B. Hemnes
    Hemnes is a municipality in Nordland county, Norway, known for its mountainous landscapes, fjords, and outdoor recreation opportunities.
  • C. Kragerø
    Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
  • D. Risør
    Risør is a small coastal town in southern Norway known for its well-preserved wooden houses, maritime heritage, and annual wooden boat festival.
  • E. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Åsnes
Triple: [Hedmark, hasMunicipality, Åsnes]
Generated description
Åsnes is a rural municipality in Innlandet county in eastern Norway, known for its forests, agriculture, and location in the traditional region of Solør.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Åsnes
Target entity description: Åsnes is a rural municipality in Innlandet county in eastern Norway, known for its forests, agriculture, and location in the traditional region of Solør.
  • A. Tvedestrand
    Tvedestrand is a coastal town and municipality in southern Norway known for its wooden houses, maritime heritage, and picturesque archipelago.
  • B. Hemnes
    Hemnes is a municipality in Nordland county, Norway, known for its mountainous landscapes, fjords, and outdoor recreation opportunities.
  • C. Kragerø
    Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
  • D. Risør
    Risør is a small coastal town in southern Norway known for its well-preserved wooden houses, maritime heritage, and annual wooden boat festival.
  • E. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • F. None of above. chosen

Provenance (5 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd631a855c81909773737fd238a14d completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81a32f18819093c08d05039442c4 completed March 21, 2026, 11:31 a.m.
NEDg Description generation batch_69be84733e0081908c4787d4be73d8c5 completed March 21, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_69be84c3905c8190b87f685607092a20 completed March 21, 2026, 11:45 a.m.
Created at: March 20, 2026, 1:15 p.m.