Triple

T15751481
Position Surface form Disambiguated ID Type / Status
Subject Sjøvegan E381855 entity
Predicate hasMunicipality P847 FINISHED
Object Salangen
Salangen is a coastal municipality in Troms county in northern Norway, known for its fjords, fishing traditions, and the administrative center village of Sjøvegan.
E1190106 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: Salangen | Statement: [Sjøvegan, hasMunicipality, Salangen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salangen
Context triple: [Sjøvegan, hasMunicipality, Salangen]
  • A. Porsanger
    Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
  • B. Namdalseid
    Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
  • C. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • D. Snåsa
    Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
  • E. Malangen
    Malangen is a prominent fjord in northern Norway known for its scenic coastal landscapes and proximity to the city of Tromsø in Troms 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: Salangen
Triple: [Sjøvegan, hasMunicipality, Salangen]
Generated description
Salangen is a coastal municipality in Troms county in northern Norway, known for its fjords, fishing traditions, and the administrative center village of Sjøvegan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Salangen
Target entity description: Salangen is a coastal municipality in Troms county in northern Norway, known for its fjords, fishing traditions, and the administrative center village of Sjøvegan.
  • A. Porsanger
    Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
  • B. Namdalseid
    Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
  • C. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • D. Snåsa
    Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
  • E. Malangen
    Malangen is a prominent fjord in northern Norway known for its scenic coastal landscapes and proximity to the city of Tromsø in Troms 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0bc4e88190be83324776b26df9 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd2f2e66481908fb1d68c24ad0460 completed May 10, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69ffd3417ebc8190bcc84138c584f86a completed May 10, 2026, 12:37 a.m.
Created at: April 10, 2026, 4:47 a.m.