Triple

T20708404
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Football Federation E508966 entity
Predicate abbreviation P43 FINISHED
Object NFF 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: NFF | Statement: [Norwegian Football Federation, abbreviation, NFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFF
Context triple: [Norwegian Football Federation, abbreviation, NFF]
  • A. NFF
    NFF is the abbreviation for the Netherlands Film Festival, an annual event celebrating Dutch cinema and filmmakers.
  • B. NFF
    NFF is the commonly used abbreviation for the Nigeria Football Federation, the governing body of football in Nigeria.
  • C. NFF chosen
    NFF is the commonly used abbreviation for the Norwegian Football Federation, the governing body for football in Norway.
  • D. NFF
    NFF is the commonly used abbreviation for the National Football Foundation, a nonprofit organization dedicated to promoting and developing amateur American football and overseeing the College Football Hall of Fame.
  • E. FFA
    FFA is the commonly used abbreviation for the Fédération Française d’Athlétisme, the governing body for athletics in France.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1952e888190877b79933970f7b0 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.