Triple

T13799133
Position Surface form Disambiguated ID Type / Status
Subject FIS Snowboard World Cup E331592 entity
Predicate organizer P123 FINISHED
Object FIS E331821 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: FIS | Statement: [FIS Snowboard World Cup, organizer, FIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIS
Context triple: [FIS Snowboard World Cup, organizer, FIS]
  • A. FIS chosen
    FIS (Fédération Internationale de Ski) is the international governing body for skiing and snowboarding, responsible for overseeing major competitions and setting rules across multiple snow sports disciplines.
  • B. FISG
    FISG is the Italian Ice Sports Federation that oversees and organizes ice hockey and other ice sports in Italy.
  • C. FISI
    FISI is the Italian Winter Sports Federation that oversees and organizes Italy’s national cross-country skiing and other snow sport teams and activities.
  • D. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • E. FISV
    FISV was the former stock ticker symbol for Fiserv, Inc., a major U.S.-based provider of financial technology and payment processing services.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e5251c81909f3f40dcdea1772f completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:11 p.m.