Triple

T12321061
Position Surface form Disambiguated ID Type / Status
Subject Ghana Music Awards Artist of the Year E293728 entity
Predicate sponsor P67 FINISHED
Object Vodafone Ghana E247638 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: Vodafone Ghana | Statement: [Ghana Music Awards Artist of the Year, sponsor, Vodafone Ghana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vodafone Ghana
Context triple: [Ghana Music Awards Artist of the Year, sponsor, Vodafone Ghana]
  • A. Econet Wireless
    Econet Wireless is a major telecommunications company, originally founded in Zimbabwe, that provides mobile and related digital communication services across multiple African markets.
  • B. Vodacom
    Vodacom is a major South African mobile communications company known for its extensive telecommunications services and prominent sports sponsorships.
  • C. MTN Group
    MTN Group is a South Africa-based multinational mobile telecommunications company operating across numerous countries in Africa and the Middle East.
  • D. Vodafone UK chosen
    Vodafone UK is a major British telecommunications company providing mobile, broadband, and related services across the United Kingdom.
  • E. MTN
    MTN is the stock ticker symbol for Vail Resorts, a major operator of ski resorts and mountain recreation properties.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4c2b548190938fff9427f07dc7 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8aa94881908e4c184062037ab5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.