Triple

T6356384
Position Surface form Disambiguated ID Type / Status
Subject FC Lausanne-Sport E143001 entity
Predicate hasWonCompetition P8326 FINISHED
Object Swiss Cup E439479 NE FINISHED

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: Swiss Cup | Statement: [FC Lausanne-Sport, hasWonCompetition, Swiss Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss Cup
Context triple: [FC Lausanne-Sport, hasWonCompetition, Swiss Cup]
  • A. Swiss Cup chosen
    The Swiss Cup is Switzerland's premier annual knockout football competition, featuring clubs from across the country's league system.
  • B. Swiss Super League
    The Swiss Super League is the top professional football division in Switzerland, featuring the country’s leading clubs in the national league system.
  • C. Swiss League
    The Swiss League is the second-highest professional ice hockey league in Switzerland, sitting just below the top-tier National League.
  • D. Swiss National League
    The Swiss National League is the top-tier professional ice hockey league in Switzerland, featuring the country’s leading clubs and many prominent international players.
  • E. Stade de Suisse
    Stade de Suisse is a modern football stadium in Bern, Switzerland, best known as the home ground of Swiss club BSC Young Boys.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f37d0881909289bafb09e29298 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640afafd48190b900fa5e0956d538 completed March 27, 2026, 8:32 a.m.
Created at: March 22, 2026, 4:32 p.m.