Triple

T15526929
Position Surface form Disambiguated ID Type / Status
Subject Israel Football Association E369107 entity
Predicate shortName P43 FINISHED
Object IFA E281149 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: IFA | Statement: [Israel Football Association, shortName, IFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IFA
Context triple: [Israel Football Association, shortName, IFA]
  • A. IFA chosen
    IFA is the Irish Football Association, the governing body responsible for organizing and overseeing football in Northern Ireland.
  • B. IFA
    IFA is the commonly used abbreviation for the Inuvialuit Final Agreement, a landmark land claims settlement between the Inuvialuit and the Government of Canada.
  • C. FiAF
    FiAF is the commonly used abbreviation for the Finnish Air Force, the air warfare branch of Finland’s Defence Forces.
  • D. EIF
    EIF is the commonly used abbreviation for the Edinburgh International Festival, a major annual performing arts festival held in Scotland’s capital city.
  • E. EIF
    EIF is the European Investment Fund, an EU institution that supports small and medium-sized enterprises by providing risk finance through financial intermediaries.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d598e6c8190870e9249197f5f53 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.