Triple

T17992206
Position Surface form Disambiguated ID Type / Status
Subject Etisalat E430399 entity
Predicate hasSubsidiary P254 FINISHED
Object Etisalat Nigeria 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: Etisalat Nigeria | Statement: [Etisalat, hasSubsidiary, Etisalat Nigeria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etisalat Nigeria
Context triple: [Etisalat, hasSubsidiary, Etisalat Nigeria]
  • A. Etisalat chosen
    Etisalat is a major telecommunications company based in the United Arab Emirates, known for providing mobile, internet, and digital services across the Middle East, Africa, and Asia.
  • B. MTN Group
    MTN Group is a South Africa-based multinational mobile telecommunications company operating across numerous countries in Africa and the Middle East.
  • C. Odu’a Telecoms
    Odu’a Telecoms is a Nigerian telecommunications company operating under the Odu’a Investment Company Limited conglomerate, providing telecom and related technology services.
  • D. 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.
  • E. Telenor
    Telenor is a major Norwegian telecommunications company that provides mobile, broadband, and digital services across Scandinavia and multiple international markets.
  • 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.