Triple

T18328359
Position Surface form Disambiguated ID Type / Status
Subject Social Democratic Party of Switzerland E439070 entity
Predicate hasYouthWing P1088 FINISHED
Object Juso Schweiz NE NERFINISHED

How this triple was built (2 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: Juso Schweiz | Statement: [Social Democratic Party of Switzerland, hasYouthWing, Juso Schweiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juso Schweiz
Context triple: [Social Democratic Party of Switzerland, hasYouthWing, Juso Schweiz]
  • A. Juso Schweiz chosen
    Juso Schweiz is the youth organization of Switzerland’s Social Democratic Party, representing and mobilizing young people around progressive and left-wing politics.
  • B. Zwyssig
    Zwyssig is a Swiss surname most notably associated with Alberich Zwyssig, the composer of the Swiss national anthem.
  • C. Switzer
    Switzer is a surname most prominently associated with Barry Switzer, a highly successful American football coach at the college and professional levels.
  • D. New Switzerland
    New Switzerland is the English translation of "New Helvetia," a historical name associated with Swiss colonial or settlement ventures abroad.
  • E. Coop (Switzerland)
    Coop (Switzerland) is one of the largest Swiss retail and wholesale cooperatives, operating supermarkets, department stores, and various service businesses across the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aac14488190840b9c22209f13d1 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.