Triple

T7545972
Position Surface form Disambiguated ID Type / Status
Subject Sollentuna E178401 entity
Predicate hasSportsClub P346 FINISHED
Object Sollentuna VK
Sollentuna VK is a Swedish volleyball club based in Sollentuna, known for competing in national volleyball leagues.
 E178401 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: Sollentuna VK | Statement: [Sollentuna, hasSportsClub, Sollentuna VK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sollentuna VK
Context triple: [Sollentuna, hasSportsClub, Sollentuna VK]
  • A. Sollentuna
    Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
  • B. Ulstein
    Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
  • C. Dynamo Kursk
    Dynamo Kursk is a prominent Russian women's basketball club that competes in top domestic and European competitions, including the EuroLeague Women.
  • D. Icebreaker Sampo
    Icebreaker Sampo is a former Finnish icebreaker turned popular tourist vessel offering ice-cruises and Arctic experiences in the Gulf of Bothnia near Kemi.
  • E. Gangut
    Gangut was a Russian ship of the line that served in the Imperial Russian Navy and took part in major 19th-century naval engagements.
  • 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: Sollentuna VK
Triple: [Sollentuna, hasSportsClub, Sollentuna VK]
Generated description
Sollentuna VK is a Swedish volleyball club based in Sollentuna, known for competing in national volleyball leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sollentuna VK
Target entity description: Sollentuna VK is a Swedish volleyball club based in Sollentuna, known for competing in national volleyball leagues.
  • A. Sollentuna chosen
    Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
  • B. Ulstein
    Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
  • C. Dynamo Kursk
    Dynamo Kursk is a prominent Russian women's basketball club that competes in top domestic and European competitions, including the EuroLeague Women.
  • D. Icebreaker Sampo
    Icebreaker Sampo is a former Finnish icebreaker turned popular tourist vessel offering ice-cruises and Arctic experiences in the Gulf of Bothnia near Kemi.
  • E. Gangut
    Gangut was a Russian ship of the line that served in the Imperial Russian Navy and took part in major 19th-century naval engagements.
  • F. None of above.

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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89963ec8190ae7b8a2b9508c074 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2662f881909f65c936be9eab56 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c852a8c630819080493932adb5ad40 completed March 28, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69c8530069e88190af6abcfddb924f38 completed March 28, 2026, 10:15 p.m.
Created at: March 27, 2026, 3:48 p.m.