Triple

T400833
Position Surface form Disambiguated ID Type / Status
Subject Halden E9275 entity
Predicate hasSportsClub P346 FINISHED
Object Kvik Halden FK
Kvik Halden FK is a Norwegian football club based in the town of Halden, known for competing in the national league system.
 E50825 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: Kvik Halden FK | Statement: [Halden, hasSportsClub, Kvik Halden FK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kvik Halden FK
Context triple: [Halden, hasSportsClub, Kvik Halden FK]
  • A. Vålerenga Fotball
    Vålerenga Fotball is a Norwegian professional football club based in Oslo, known for its passionate fan base and history in the country’s top division.
  • B. Lommel SK
    Lommel SK is a Belgian professional football club that competes in the country’s league system and serves as part of City Football Group’s global network of teams.
  • C. Lyn Fotball
    Lyn Fotball is a Norwegian football club based in Oslo, historically known as one of the country’s oldest and most traditional teams.
  • D. Brynas IF
    Brynäs IF is a professional Swedish ice hockey club based in Gävle, historically one of the country's most successful teams and a notable developer of NHL talent.
  • E. Tøyen
    Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
  • 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: Kvik Halden FK
Triple: [Halden, hasSportsClub, Kvik Halden FK]
Generated description
Kvik Halden FK is a Norwegian football club based in the town of Halden, known for competing in the national league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kvik Halden FK
Target entity description: Kvik Halden FK is a Norwegian football club based in the town of Halden, known for competing in the national league system.
  • A. Vålerenga Fotball
    Vålerenga Fotball is a Norwegian professional football club based in Oslo, known for its passionate fan base and history in the country’s top division.
  • B. Lommel SK
    Lommel SK is a Belgian professional football club that competes in the country’s league system and serves as part of City Football Group’s global network of teams.
  • C. Lyn Fotball
    Lyn Fotball is a Norwegian football club based in Oslo, historically known as one of the country’s oldest and most traditional teams.
  • D. Brynas IF
    Brynäs IF is a professional Swedish ice hockey club based in Gävle, historically one of the country's most successful teams and a notable developer of NHL talent.
  • E. Tøyen
    Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8e655c819081eff85c0ef55fa5 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a410410c108190990d4d5ef2e7ff61 completed March 1, 2026, 10:09 a.m.
NEDg Description generation batch_69a410ce17ac8190a3ac2325e36cf6b3 completed March 1, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69a41125951c8190accbf273ef677206 completed March 1, 2026, 10:12 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.