Triple

T19957537
Position Surface form Disambiguated ID Type / Status
Subject FIM Legend E479723 entity
Predicate awardedBy P287 FINISHED
Object FIM leadership 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 leadership | Statement: [FIM Legend, awardedBy, FIM leadership]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIM leadership
Context triple: [FIM Legend, awardedBy, FIM leadership]
  • 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. FPMI
    FPMI is a university faculty specializing in control theory, applied mathematics, and related technical disciplines.
  • D. IFMA
    IFMA is the international governing body responsible for overseeing and promoting the sport of Muaythai worldwide.
  • E. FRIMS
    FRIMS is a research organization focused on advanced materials science and frontier interdisciplinary materials research.
  • 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.