Triple

T8591816
Position Surface form Disambiguated ID Type / Status
Subject Parainen E203444 entity
Predicate hasIsland P970 FINISHED
Object Houtskär
Houtskär is an island and former municipality in the Turku Archipelago of southwest Finland, known for its rugged coastal scenery and traditional Finnish-Swedish island culture.
 E745231 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: Houtskär | Statement: [Parainen, hasIsland, Houtskär]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Houtskär
Context triple: [Parainen, hasIsland, Houtskär]
  • A. Skutskär
    Skutskär is a locality in Uppsala County, Sweden, known historically for its pulp and paper industry.
  • B. Nakkholmen
    Nakkholmen is a small inhabited island known for its traditional wooden cabins and recreational use, located in the Oslofjord near Oslo, Norway.
  • C. Skärholmen
    Skärholmen is a suburban district in southwestern Stockholm, Sweden, known for its large shopping center and residential areas.
  • D. Kvarnholmen
    Kvarnholmen is a former industrial island district in the Stockholm area that has been transformed into a modern residential and waterfront neighborhood.
  • E. Norderön
    Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
  • 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: Houtskär
Triple: [Parainen, hasIsland, Houtskär]
Generated description
Houtskär is an island and former municipality in the Turku Archipelago of southwest Finland, known for its rugged coastal scenery and traditional Finnish-Swedish island culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Houtskär
Target entity description: Houtskär is an island and former municipality in the Turku Archipelago of southwest Finland, known for its rugged coastal scenery and traditional Finnish-Swedish island culture.
  • A. Skutskär
    Skutskär is a locality in Uppsala County, Sweden, known historically for its pulp and paper industry.
  • B. Nakkholmen
    Nakkholmen is a small inhabited island known for its traditional wooden cabins and recreational use, located in the Oslofjord near Oslo, Norway.
  • C. Skärholmen
    Skärholmen is a suburban district in southwestern Stockholm, Sweden, known for its large shopping center and residential areas.
  • D. Kvarnholmen
    Kvarnholmen is a former industrial island district in the Stockholm area that has been transformed into a modern residential and waterfront neighborhood.
  • E. Norderön
    Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc466747b88190b752f78f361140cb completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8b584088190bc5b8b2785894d82 completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea9cff1ec8190a0093fb42782341e completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa9f7f8c8190965e86880ff141d5 completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:23 p.m.