Triple

T21775301
Position Surface form Disambiguated ID Type / Status
Subject Nes (Viken) E537555 entity
Predicate hasSettlement P1068 FINISHED
Object Skogbygda
Skogbygda is a small rural village located in the municipality of Nes in Viken county, Norway.
E1500415 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: Skogbygda | Statement: [Nes (Viken), hasSettlement, Skogbygda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skogbygda
Context triple: [Nes (Viken), hasSettlement, Skogbygda]
  • A. Midtbygda
    Midtbygda is the main village and administrative center of the municipality of Meråker in Trøndelag county, Norway.
  • B. Midtbygda
    Midtbygda is a village in Norway that historically functioned as the central hub for local governance and services in the former municipality of Røyken.
  • C. Nordbygda
    Nordbygda is a small rural settlement located within Løten municipality in Innlandet county, Norway.
  • D. Engerdal
    Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
  • E. Sæbøvik
    Sæbøvik is a small village in western Norway located within the municipality of Kvinnherad in Vestland county.
  • 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: Skogbygda
Triple: [Nes (Viken), hasSettlement, Skogbygda]
Generated description
Skogbygda is a small rural village located in the municipality of Nes in Viken county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skogbygda
Target entity description: Skogbygda is a small rural village located in the municipality of Nes in Viken county, Norway.
  • A. Midtbygda
    Midtbygda is the main village and administrative center of the municipality of Meråker in Trøndelag county, Norway.
  • B. Midtbygda
    Midtbygda is a village in Norway that historically functioned as the central hub for local governance and services in the former municipality of Røyken.
  • C. Nordbygda
    Nordbygda is a small rural settlement located within Løten municipality in Innlandet county, Norway.
  • D. Engerdal
    Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
  • E. Sæbøvik
    Sæbøvik is a small village in western Norway located within the municipality of Kvinnherad in Vestland county.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04627bd488190bbc1fde8db417b55 completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a367fe0c08190a9dce68881d84513 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a37d389288190a10a9af0ef9e7263 completed May 17, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_6a0a38343b6c8190b2e49605fad56bf7 completed May 17, 2026, 9:50 p.m.
Created at: April 16, 2026, 6:51 p.m.