Triple

T3701766
Position Surface form Disambiguated ID Type / Status
Subject Troms E80793 entity
Predicate containsTown P847 FINISHED
Object Sjøvegan
Sjøvegan is a small coastal village in Northern Norway that serves as the administrative center of Salangen Municipality in Troms og Finnmark county.
 E381855 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: Sjøvegan | Statement: [Troms, containsTown, Sjøvegan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sjøvegan
Context triple: [Troms, containsTown, Sjøvegan]
  • A. Saftleven
    Saftleven is a Dutch family name most notably associated with a 17th-century artistic dynasty of painters and draughtsmen from the Netherlands.
  • B. Seafarm
    Seafarm is a work by ocean policy expert and writer Elisabeth Mann Borgese that reflects her pioneering ideas on the sustainable use and governance of the seas.
  • C. Sjofn
    Sjofn is a lesser-known Norse goddess of the Aesir associated with love, affection, and the reconciliation of quarrels.
  • D. Sandve
    Sandve is a small coastal village in Karmøy municipality in Rogaland county, southwestern Norway.
  • E. Hvaler
    Hvaler is a Norwegian coastal municipality and archipelago in Viken county, known for its islands, fishing communities, and popular seaside recreation areas.
  • 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: Sjøvegan
Triple: [Troms, containsTown, Sjøvegan]
Generated description
Sjøvegan is a small coastal village in Northern Norway that serves as the administrative center of Salangen Municipality in Troms og Finnmark county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sjøvegan
Target entity description: Sjøvegan is a small coastal village in Northern Norway that serves as the administrative center of Salangen Municipality in Troms og Finnmark county.
  • A. Saftleven
    Saftleven is a Dutch family name most notably associated with a 17th-century artistic dynasty of painters and draughtsmen from the Netherlands.
  • B. Seafarm
    Seafarm is a work by ocean policy expert and writer Elisabeth Mann Borgese that reflects her pioneering ideas on the sustainable use and governance of the seas.
  • C. Sjofn
    Sjofn is a lesser-known Norse goddess of the Aesir associated with love, affection, and the reconciliation of quarrels.
  • D. Sandve
    Sandve is a small coastal village in Karmøy municipality in Rogaland county, southwestern Norway.
  • E. Hvaler
    Hvaler is a Norwegian coastal municipality and archipelago in Viken county, known for its islands, fishing communities, and popular seaside recreation areas.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf53190819098529d11a5a3c7a8 completed March 14, 2026, 2:54 a.m.
NEDg Description generation batch_69b4cf799ae88190bbf821f4c4500031 completed March 14, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69b4d0057fe8819092a40732324f88c9 completed March 14, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:33 p.m.