Triple

T5930644
Position Surface form Disambiguated ID Type / Status
Subject Norway women's national football team E131926 entity
Predicate federationAbbreviation P17572 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 women's national football team, federationAbbreviation, NFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFF
Context triple: [Norway women's national football team, federationAbbreviation, 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 a regional fisheries management organization that supports Pacific Island countries in sustainably managing and conserving their tuna and other marine resources.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389c734081908e8a35f43e0104f6 completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c05eb4b8819097f203e1db94ae8f completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.