Triple

T10095741
Position Surface form Disambiguated ID Type / Status
Subject Frederikssund E215860 entity
Predicate hasSportsClub P346 FINISHED
Object Frederikssund IK
Frederikssund IK is a Danish sports club based in the town of Frederikssund, known primarily for its football activities.
E841312 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: Frederikssund IK | Statement: [Frederikssund, hasSportsClub, Frederikssund IK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederikssund IK
Context triple: [Frederikssund, hasSportsClub, Frederikssund IK]
  • A. Vendsyssel FF
    Vendsyssel FF is a Danish professional football club based in the town of Hjørring in northern Jutland.
  • B. Herning IK
    Herning IK is the former name of Herning Blue Fox, a professional ice hockey club based in Herning, Denmark.
  • C. Sandvikens IF
    Sandvikens IF is a Swedish sports club best known for its football team, which has a long tradition and regional significance in Sandviken.
  • D. Haderslev FK
    Haderslev FK is a Danish football club based in the town of Haderslev.
  • E. Hokksund IL
    Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
  • 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: Frederikssund IK
Triple: [Frederikssund, hasSportsClub, Frederikssund IK]
Generated description
Frederikssund IK is a Danish sports club based in the town of Frederikssund, known primarily for its football activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frederikssund IK
Target entity description: Frederikssund IK is a Danish sports club based in the town of Frederikssund, known primarily for its football activities.
  • A. Vendsyssel FF
    Vendsyssel FF is a Danish professional football club based in the town of Hjørring in northern Jutland.
  • B. Herning IK
    Herning IK is the former name of Herning Blue Fox, a professional ice hockey club based in Herning, Denmark.
  • C. Sandvikens IF
    Sandvikens IF is a Swedish sports club best known for its football team, which has a long tradition and regional significance in Sandviken.
  • D. Haderslev FK
    Haderslev FK is a Danish football club based in the town of Haderslev.
  • E. Hokksund IL
    Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0798c248190af675e30e280daa8 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6b8d604819094db099981219e72 completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b8a728bc8190b9baf93a40c00642 completed April 5, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69d2b90a1de88190b7c8cf6356ffc376 completed April 5, 2026, 7:33 p.m.
Created at: March 30, 2026, 9:02 p.m.