Triple

T17992147
Position Surface form Disambiguated ID Type / Status
Subject ADIB Cup E430398 entity
Predicate sponsorshipName P15097 FINISHED
Object ADIB 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: ADIB Cup | Statement: [ADIB Cup, sponsorshipName, ADIB Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ADIB Cup
Context triple: [ADIB Cup, sponsorshipName, ADIB Cup]
  • A. ADIB Cup chosen
    The ADIB Cup is a professional football league cup competition in the United Arab Emirates featuring clubs from the country's top divisions.
  • B. Hazfi Cup
    The Hazfi Cup is Iran’s primary national knockout football cup competition, featuring clubs from various tiers of the country’s league system.
  • C. IBU Cup
    The IBU Cup is the second-tier international biathlon competition circuit, serving as a developmental series below the Biathlon World Cup.
  • D. 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.
  • E. ABSA Cup
    The ABSA Cup was a South African knockout football competition that served as a predecessor to the Nedbank Cup in the country’s domestic soccer calendar.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29fd7648190b7f09ea60c7b96a8 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.