Triple

T12257288
Position Surface form Disambiguated ID Type / Status
Subject Africa Cup of Nations trophy E292133 entity
Predicate presentationMoment P103768 FINISHED
Object post-match award ceremony LITERAL 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: post-match award ceremony | Statement: [Africa Cup of Nations trophy, presentationMoment, post-match award ceremony]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: presentationMoment
Context triple: [Africa Cup of Nations trophy, presentationMoment, post-match award ceremony]
  • A. presentation
    Indicates that one entity formally shows, explains, or demonstrates something (such as information, ideas, or a product) to an audience or another entity.
  • B. presentationLevel
    Indicates the degree or intensity with which something is presented, displayed, or made perceptible in a given context.
  • C. presentAspect
    Indicates that an action, state, or event is occurring in the present time frame, often with ongoing or current relevance.
  • D. presentedFor
    Indicates that one entity was formally offered, submitted, or shown to another entity for consideration, review, or action.
  • E. hasPresentation
    Indicates that an entity delivers, contains, or is associated with a specific presentation (such as a talk, slide deck, or formal display of information).
  • F. None of above. chosen

Provenance (4 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
PDg Predicate description generation batch_69d91d3654208190a2e0487dfa1d54da completed April 10, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:52 p.m.