Triple

T11332192
Position Surface form Disambiguated ID Type / Status
Subject Zimbabwe Football Association E268372 entity
Predicate hasAbbreviation P43 FINISHED
Object ZIFA E268371 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: ZIFA | Statement: [Zimbabwe Football Association, hasAbbreviation, ZIFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZIFA
Context triple: [Zimbabwe Football Association, hasAbbreviation, ZIFA]
  • A. ZIFA chosen
    ZIFA is the Zimbabwe Football Association, the national governing body responsible for overseeing football activities and competitions in Zimbabwe.
  • B. Fipa
    Fipa is the name of a Bantu-speaking ethnic group primarily inhabiting the Rukwa Region of southwestern Tanzania.
  • C. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • D. Affi
    Affi is a small town in the Veneto region of northern Italy, known for its proximity to Lake Garda and its convenient location near major transport routes.
  • E. Fini
    Fini is the surname of Leonor Fini, an Argentine-Italian surrealist painter, designer, and illustrator known for her fantastical, often erotic imagery and strong, enigmatic female figures.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fd38308190a5458be1bfcc89ea completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5564218bc8190bbaf9aceb69fdc26 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:32 p.m.