Triple

T6621896
Position Surface form Disambiguated ID Type / Status
Subject Hokksund E149693 entity
Predicate hasSportsClub P346 FINISHED
Object Hokksund IL
Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
E607397 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: Hokksund IL | Statement: [Hokksund, hasSportsClub, Hokksund IL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hokksund IL
Context triple: [Hokksund, hasSportsClub, Hokksund IL]
  • A. Segeltorps IF
    Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
  • B. Lidingö SK
    Lidingö SK is a Swedish multi-sport club based in Lidingö, known especially for its athletics and orienteering activities.
  • C. IFK Lidingö
    IFK Lidingö is a Swedish multi-sport club based on the island of Lidingö, best known for its activities in athletics, orienteering, and football.
  • D. Vittsjö GIK
    Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
  • E. Örgryte IS
    Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
  • 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: Hokksund IL
Triple: [Hokksund, hasSportsClub, Hokksund IL]
Generated description
Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hokksund IL
Target entity description: Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
  • A. Segeltorps IF
    Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
  • B. Lidingö SK
    Lidingö SK is a Swedish multi-sport club based in Lidingö, known especially for its athletics and orienteering activities.
  • C. IFK Lidingö
    IFK Lidingö is a Swedish multi-sport club based on the island of Lidingö, best known for its activities in athletics, orienteering, and football.
  • D. Vittsjö GIK
    Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
  • E. Örgryte IS
    Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7ccaa481908b383b4fd671fa78 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e448b00081908b336a2bd7fb3820 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e5b236888190b108de51c730179a completed March 27, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69c6e7ce9aa88190abd000a13c00a070 completed March 27, 2026, 8:25 p.m.
Created at: March 27, 2026, 1:58 p.m.