Triple

T19957549
Position Surface form Disambiguated ID Type / Status
Subject FIM Legend E479723 entity
Predicate abbreviationOfGoverningBody P7408 FINISHED
Object FIM 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: FIM | Statement: [FIM Legend, abbreviationOfGoverningBody, FIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIM
Context triple: [FIM Legend, abbreviationOfGoverningBody, FIM]
  • A. FIM
    FIM was the currency code for the Finnish markka, the former national currency of Finland before adoption of the euro.
  • B. FIM chosen
    FIM (Fédération Internationale de Motocyclisme) is the global governing body for motorcycle racing, responsible for overseeing major international championships and setting rules and safety standards for the sport.
  • C. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • D. FPMI
    FPMI is a university faculty specializing in control theory, applied mathematics, and related technical disciplines.
  • E. Fittja
    Fittja is a suburban district in the southern part of the Stockholm metropolitan area in Sweden, known for its diverse population and large-scale postwar housing.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af1b32c81908ebe0e2570ec06a9 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.