Triple

T5098105
Position Surface form Disambiguated ID Type / Status
Subject Møre og Romsdal E114915 entity
Predicate containsSettlement P847 FINISHED
Object Ørskog
Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
 E524996 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: Ørskog | Statement: [Møre og Romsdal, containsSettlement, Ørskog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ørskog
Context triple: [Møre og Romsdal, containsSettlement, Ørskog]
  • A. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • B. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • C. Engerdal
    Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
  • D. Nordkjosbotn
    Nordkjosbotn is a small village in Troms county in northern Norway, known as a key road junction and service center where major routes connect inland and coastal regions.
  • E. Trysil
    Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
  • 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: Ørskog
Triple: [Møre og Romsdal, containsSettlement, Ørskog]
Generated description
Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ørskog
Target entity description: Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
  • A. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • B. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • C. Engerdal
    Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
  • D. Nordkjosbotn
    Nordkjosbotn is a small village in Troms county in northern Norway, known as a key road junction and service center where major routes connect inland and coastal regions.
  • E. Trysil
    Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf83324f0c81909de3afc6b4616bd5 completed March 22, 2026, 5:50 a.m.
NEDg Description generation batch_69bf83cca5b481909e8c3808983e3ca5 completed March 22, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69bf844063b48190bbc3f961cbaf8f0a completed March 22, 2026, 5:55 a.m.
Created at: March 20, 2026, 1:40 p.m.