Triple

T13799326
Position Surface form Disambiguated ID Type / Status
Subject Lake Vänern E331596 entity
Predicate hasIsland P970 FINISHED
Object Kållandsö
Kållandsö is a large Swedish island known for its scenic landscapes and historic sites, located in Lake Vänern in western Sweden.
 E1063086 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: Kållandsö | Statement: [Lake Vänern, hasIsland, Kållandsö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kållandsö
Context triple: [Lake Vänern, hasIsland, Kållandsö]
  • A. Norderön
    Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
  • B. Västerljung
    Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
  • C. Adelsö
    Adelsö is an island in Sweden’s Lake Mälaren known for its rich Viking Age history and archaeological sites.
  • D. Marstrandsön
    Marstrandsön is a Swedish island on the west coast known for the historic fortress town of Marstrand, sailing events, and scenic coastal landscapes.
  • E. Rindö
    Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
  • 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: Kållandsö
Triple: [Lake Vänern, hasIsland, Kållandsö]
Generated description
Kållandsö is a large Swedish island known for its scenic landscapes and historic sites, located in Lake Vänern in western Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kållandsö
Target entity description: Kållandsö is a large Swedish island known for its scenic landscapes and historic sites, located in Lake Vänern in western Sweden.
  • A. Norderön
    Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
  • B. Västerljung
    Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
  • C. Adelsö
    Adelsö is an island in Sweden’s Lake Mälaren known for its rich Viking Age history and archaeological sites.
  • D. Marstrandsön
    Marstrandsön is a Swedish island on the west coast known for the historic fortress town of Marstrand, sailing events, and scenic coastal landscapes.
  • E. Rindö
    Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8da594c81908cb878a8cc1b3a72 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7ba1afc048190a0053497acc64fb1 completed May 3, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba936c4481908757699ff22d3904 completed May 3, 2026, 9:13 p.m.
Created at: April 9, 2026, 10:11 p.m.