Triple

T6974633
Position Surface form Disambiguated ID Type / Status
Subject MTN 8 E161685 entity
Predicate sponsor P67 FINISHED
Object MTN Group
MTN Group is a South Africa-based multinational mobile telecommunications company operating across numerous countries in Africa and the Middle East.
 E633660 NE FINISHED

How this triple was built (4 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: MTN Group | Statement: [MTN 8, sponsor, MTN Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MTN Group
Context triple: [MTN 8, sponsor, MTN Group]
  • A. MTN
    MTN is the stock ticker symbol for Vail Resorts, a major operator of ski resorts and mountain recreation properties.
  • B. MTN
    MTN is the IATA airport code for Martin State Airport, a public airport serving the Baltimore, Maryland area.
  • C. Vodacom
    Vodacom is a major South African mobile communications company known for its extensive telecommunications services and prominent sports sponsorships.
  • D. Telenor
    Telenor is a major Norwegian telecommunications company that provides mobile, broadband, and digital services across Scandinavia and multiple international markets.
  • E. Etisalat
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MTN Group
Triple: [MTN 8, sponsor, MTN Group]
Generated description
MTN Group is a South Africa-based multinational mobile telecommunications company operating across numerous countries in Africa and the Middle East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MTN Group
Target entity description: MTN Group is a South Africa-based multinational mobile telecommunications company operating across numerous countries in Africa and the Middle East.
  • A. MTN
    MTN is the stock ticker symbol for Vail Resorts, a major operator of ski resorts and mountain recreation properties.
  • B. MTN
    MTN is the IATA airport code for Martin State Airport, a public airport serving the Baltimore, Maryland area.
  • C. Vodacom
    Vodacom is a major South African mobile communications company known for its extensive telecommunications services and prominent sports sponsorships.
  • D. Telenor
    Telenor is a major Norwegian telecommunications company that provides mobile, broadband, and digital services across Scandinavia and multiple international markets.
  • E. Etisalat
    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.
  • F. None of above. chosen

Provenance (5 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3bda908190a10a91dc8d043ef1 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761a6bbdc81908c96871f151db279 completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c7639074f48190bc095f18fc35c08b completed March 28, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_69c76435fd2c819099143ea12f21d095 completed March 28, 2026, 5:16 a.m.
Created at: March 27, 2026, 2:30 p.m.