Triple

T21631356
Position Surface form Disambiguated ID Type / Status
Subject IBU Cup E533837 entity
Predicate abbreviation P43 FINISHED
Object IBU Cup NE NERFINISHED

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: IBU Cup | Statement: [IBU Cup, abbreviation, IBU Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBU Cup
Context triple: [IBU Cup, abbreviation, IBU Cup]
  • A. IBU Cup chosen
    The IBU Cup is the second-tier international biathlon competition circuit, serving as a developmental series below the Biathlon World Cup.
  • B. Nomura Cup
    The Nomura Cup is a major amateur men's team golf championship for Asia-Pacific nations, organized by the Asia-Pacific Golf Confederation.
  • C. MOL Cup
    The MOL Cup is the main national football knockout cup competition in the Czech Republic, currently named for sponsorship reasons.
  • D. ITA Cup
    The ITA Cup is a major collegiate tennis tournament in the United States that serves as one of the premier national championship events for student-athletes across multiple divisions.
  • E. Aiteo Cup
    The Aiteo Cup is Nigeria’s premier national football knockout competition, featuring clubs from across the country in both men’s and women’s categories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5217952c8190910c2103fb4a27d9 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.