Triple

T3701754
Position Surface form Disambiguated ID Type / Status
Subject Troms E80793 entity
Predicate containsTown P847 FINISHED
Object Skjervøy
Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
 E407060 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: Skjervøy | Statement: [Troms, containsTown, Skjervøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skjervøy
Context triple: [Troms, containsTown, Skjervøy]
  • A. Finnøy
    Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
  • B. Karmøy
    Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
  • C. Rennesøy
    Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
  • D. Nøtterøy
    Nøtterøy is a large, populated island and former municipality in Vestfold, Norway, situated in the Oslofjord and known for its coastal landscapes and residential communities.
  • E. Vågsøy
    Vågsøy is a coastal island and former municipality in Vestland county, western Norway, known for its rugged North Sea coastline, lighthouses, and fishing communities.
  • 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: Skjervøy
Triple: [Troms, containsTown, Skjervøy]
Generated description
Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skjervøy
Target entity description: Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
  • A. Finnøy
    Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
  • B. Karmøy
    Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
  • C. Rennesøy
    Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
  • D. Nøtterøy
    Nøtterøy is a large, populated island and former municipality in Vestfold, Norway, situated in the Oslofjord and known for its coastal landscapes and residential communities.
  • E. Vågsøy
    Vågsøy is a coastal island and former municipality in Vestland county, western Norway, known for its rugged North Sea coastline, lighthouses, and fishing communities.
  • 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_69b54c2971788190b8f48da3883d2ba2 completed March 14, 2026, 11:53 a.m.
NEDg Description generation batch_69b55004ef54819090a714478a8ff6e8 completed March 14, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69b5508ab77c819080cd8a87818ea482 completed March 14, 2026, 12:11 p.m.
Created at: March 8, 2026, 3:33 p.m.