Triple

T3701774
Position Surface form Disambiguated ID Type / Status
Subject Troms E80793 entity
Predicate containsIsland P970 FINISHED
Object Vannøya
Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
 E416959 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: Vannøya | Statement: [Troms, containsIsland, Vannøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vannøya
Context triple: [Troms, containsIsland, Vannøya]
  • A. Nørvøya
    Nørvøya is a coastal island in western Norway that forms part of the urban area of the town of Ålesund.
  • B. Værøy
    Værøy is a small, scenic island and fishing community in northern Norway, known for its dramatic coastal landscapes and part of the Lofoten archipelago.
  • C. Vestvågøy
    Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
  • D. Vadsøya
    Vadsøya is a small island in northern Norway that forms part of the town of Vadsø, known for its Arctic coastal setting and historical significance in Finnmark.
  • E. Skjervøy
    Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
  • 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: Vannøya
Triple: [Troms, containsIsland, Vannøya]
Generated description
Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vannøya
Target entity description: Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
  • A. Nørvøya
    Nørvøya is a coastal island in western Norway that forms part of the urban area of the town of Ålesund.
  • B. Værøy
    Værøy is a small, scenic island and fishing community in northern Norway, known for its dramatic coastal landscapes and part of the Lofoten archipelago.
  • C. Vestvågøy
    Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
  • D. Vadsøya
    Vadsøya is a small island in northern Norway that forms part of the town of Vadsø, known for its Arctic coastal setting and historical significance in Finnmark.
  • E. Skjervøy
    Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
  • 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_69b57f0c294881908a69addadb7b2d98 completed March 14, 2026, 3:30 p.m.
NEDg Description generation batch_69b5800a12e48190b184373464930b1e completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b580af3eb88190a89d5827e32293c1 completed March 14, 2026, 3:37 p.m.
Created at: March 8, 2026, 3:33 p.m.