Triple

T7761410
Position Surface form Disambiguated ID Type / Status
Subject Strängnäs E176028 entity
Predicate hasSportsClub P346 FINISHED
Object Strängnäs FC
Strängnäs FC is a Swedish football club based in the town of Strängnäs.
E687976 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: Strängnäs FC | Statement: [Strängnäs, hasSportsClub, Strängnäs FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strängnäs FC
Context triple: [Strängnäs, hasSportsClub, Strängnäs FC]
  • A. Södertälje FK
    Södertälje FK is a Swedish football club based in Södertälje, known locally for its competitive presence and rivalry with neighboring club Syrianska FC.
  • B. Östersunds FK
    Östersunds FK is a Swedish professional football club known for its rapid rise through the leagues and notable performances in domestic and European competitions.
  • C. Kalmar FF
    Kalmar FF is a professional Swedish football club based in the city of Kalmar that competes in the country’s top leagues and national competitions.
  • D. Linköpings FC
    Linköpings FC is a Swedish professional women's football club based in Linköping that competes in the top tier Damallsvenskan league.
  • E. Sollentuna FK
    Sollentuna FK is a Swedish football club based in Sollentuna that competes in the national league system.
  • 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: Strängnäs FC
Triple: [Strängnäs, hasSportsClub, Strängnäs FC]
Generated description
Strängnäs FC is a Swedish football club based in the town of Strängnäs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Strängnäs FC
Target entity description: Strängnäs FC is a Swedish football club based in the town of Strängnäs.
  • A. Södertälje FK
    Södertälje FK is a Swedish football club based in Södertälje, known locally for its competitive presence and rivalry with neighboring club Syrianska FC.
  • B. Östersunds FK
    Östersunds FK is a Swedish professional football club known for its rapid rise through the leagues and notable performances in domestic and European competitions.
  • C. Kalmar FF
    Kalmar FF is a professional Swedish football club based in the city of Kalmar that competes in the country’s top leagues and national competitions.
  • D. Linköpings FC
    Linköpings FC is a Swedish professional women's football club based in Linköping that competes in the top tier Damallsvenskan league.
  • E. Sollentuna FK
    Sollentuna FK is a Swedish football club based in Sollentuna that competes in the national league system.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c704036c588190a441e56c738cc309 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7d658888190af97b83127086a2b completed March 29, 2026, 6:33 a.m.
NEDg Description generation batch_69c8c87bca908190a44e839824c23e95 completed March 29, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_69c8c8e5e9f081908288b38ea25e81d2 completed March 29, 2026, 6:38 a.m.
Created at: March 27, 2026, 4:09 p.m.