Triple

T12150202
Position Surface form Disambiguated ID Type / Status
Subject Nigeria under-23 national football team E289431 entity
Predicate governingBodyAbbreviation P2886 FINISHED
Object NFF E289429 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: NFF | Statement: [Nigeria under-23 national football team, governingBodyAbbreviation, NFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFF
Context triple: [Nigeria under-23 national football team, governingBodyAbbreviation, 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 Norwegian Football Federation, the governing body for football in Norway.
  • C. 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.
  • D. NFF chosen
    NFF is the commonly used abbreviation for the Nigeria Football Federation, the governing body of football in Nigeria.
  • E. FFA
    FFA (Future Farmers of America) is a U.S.-based youth organization that promotes agricultural education, leadership, and career development for students.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ad6ef08190b334a97d6ab41487 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a80aa6881908111cc47b5fe8b9e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.