Triple

T8046408
Position Surface form Disambiguated ID Type / Status
Subject Norway U16 E187564 entity
Predicate governingBodyAbbreviation P2886 FINISHED
Object NFF E508966 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: [Norway U16, governingBodyAbbreviation, NFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFF
Context triple: [Norway U16, 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 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. FFA
    FFA is the commonly used abbreviation for the Fédération Française d’Athlétisme, the governing body for athletics in France.
  • E. FFA
    FFA is the former name and common abbreviation of Football Australia, the governing body for professional and amateur soccer in Australia.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f4d9ddc8190a7dcf85ed47ee6c3 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5711d2bc8190911f2cade7596be5 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:24 p.m.