Triple

T10373895
Position Surface form Disambiguated ID Type / Status
Subject Moss municipality E244452 entity
Predicate hasSettlement P1068 FINISHED
Object Larkollen
Larkollen is a coastal village in southeastern Norway known for its beaches, holiday homes, and maritime recreation.
 E860781 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: Larkollen | Statement: [Moss municipality, hasSettlement, Larkollen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larkollen
Context triple: [Moss municipality, hasSettlement, Larkollen]
  • A. Lutakko
    Lutakko is a central lakeside district of Jyväskylä, Finland, known for its modern residential areas, event venues, and the annual Jyväskylä Rock Festival.
  • B. Kalbakken
    Kalbakken is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green areas, and access to public transportation.
  • C. Lokki
    Lokki is the highest mountain peak on the Faroe Islands island of Borðoy.
  • D. Laarks
    Laarks is an American indie rock band known for its layered, experimental sound and connections to other Midwest alternative music projects.
  • E. Lågen
    Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
  • 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: Larkollen
Triple: [Moss municipality, hasSettlement, Larkollen]
Generated description
Larkollen is a coastal village in southeastern Norway known for its beaches, holiday homes, and maritime recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larkollen
Target entity description: Larkollen is a coastal village in southeastern Norway known for its beaches, holiday homes, and maritime recreation.
  • A. Lutakko
    Lutakko is a central lakeside district of Jyväskylä, Finland, known for its modern residential areas, event venues, and the annual Jyväskylä Rock Festival.
  • B. Kalbakken
    Kalbakken is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green areas, and access to public transportation.
  • C. Lokki
    Lokki is the highest mountain peak on the Faroe Islands island of Borðoy.
  • D. Laarks
    Laarks is an American indie rock band known for its layered, experimental sound and connections to other Midwest alternative music projects.
  • E. Lågen
    Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9804e708190b15f5d38cac9c4c1 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7956ca1e08190880342b22a55783f completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, 12:02 p.m.