Triple

T22682850
Position Surface form Disambiguated ID Type / Status
Subject Linderud E560826 entity
Predicate hasSportsClub P346 FINISHED
Object Linderud IL
Linderud IL is a Norwegian multi-sport club based in the Linderud area of Oslo, known for offering activities in sports such as football and handball.
E1549407 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: Linderud IL | Statement: [Linderud, hasSportsClub, Linderud IL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linderud IL
Context triple: [Linderud, hasSportsClub, Linderud IL]
  • A. Kjelsås IL
    Kjelsås IL is a Norwegian multi-sport club based in the Kjelsås neighborhood of Oslo, known for activities such as football, handball, and skiing.
  • B. Hokksund IL
    Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
  • C. Lidingö SK
    Lidingö SK is a Swedish multi-sport club based in Lidingö, known especially for its athletics and orienteering activities.
  • D. 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.
  • E. Norrby IF
    Norrby IF is a Swedish football club based in Borås, known for competing in the national league system and representing one of the city's traditional sports communities.
  • 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: Linderud IL
Triple: [Linderud, hasSportsClub, Linderud IL]
Generated description
Linderud IL is a Norwegian multi-sport club based in the Linderud area of Oslo, known for offering activities in sports such as football and handball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linderud IL
Target entity description: Linderud IL is a Norwegian multi-sport club based in the Linderud area of Oslo, known for offering activities in sports such as football and handball.
  • A. Kjelsås IL
    Kjelsås IL is a Norwegian multi-sport club based in the Kjelsås neighborhood of Oslo, known for activities such as football, handball, and skiing.
  • B. Hokksund IL
    Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
  • C. Lidingö SK
    Lidingö SK is a Swedish multi-sport club based in Lidingö, known especially for its athletics and orienteering activities.
  • D. 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.
  • E. Norrby IF
    Norrby IF is a Swedish football club based in Borås, known for competing in the national league system and representing one of the city's traditional sports communities.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786204d88190a837a5f04e16e94c completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73f4db988190a651faf7f454c6c8 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7551043c81908323a86af4db77ce completed May 18, 2026, 8:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b764c2de88190bb1024206607d107 completed May 18, 2026, 8:27 p.m.
Created at: April 17, 2026, 3:12 p.m.