Triple

T4476976
Position Surface form Disambiguated ID Type / Status
Subject Namsos E100031 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Osen
Osen is a small coastal municipality in Trøndelag county, Norway, known for its rugged coastline, fishing traditions, and scenic natural landscapes.
 E442614 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: Osen | Statement: [Namsos, hasNeighbouringMunicipality, Osen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Osen
Context triple: [Namsos, hasNeighbouringMunicipality, Osen]
  • A. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • B. Asenie
    Asenie is one of the traditional matrilineal clans of the Akan people of West Africa, associated with shared ancestry, identity, and social obligations.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • E. Senja
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic 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: Osen
Triple: [Namsos, hasNeighbouringMunicipality, Osen]
Generated description
Osen is a small coastal municipality in Trøndelag county, Norway, known for its rugged coastline, fishing traditions, and scenic natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Osen
Target entity description: Osen is a small coastal municipality in Trøndelag county, Norway, known for its rugged coastline, fishing traditions, and scenic natural landscapes.
  • A. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • B. Asenie
    Asenie is one of the traditional matrilineal clans of the Akan people of West Africa, associated with shared ancestry, identity, and social obligations.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • E. Senja
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356d8600c8190a8b812889c50f144 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6288434188190a23c48267f55ce1e completed March 15, 2026, 3:33 a.m.
NEDg Description generation batch_69b62c7f847c81908335cef514f402ee completed March 15, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69b62d248a2881908a314a8919c7648e completed March 15, 2026, 3:53 a.m.
Created at: March 12, 2026, 11:35 p.m.