Triple

T13543468
Position Surface form Disambiguated ID Type / Status
Subject Midrand Graduate Institute E323449 entity
Predicate alternativeName P39 FINISHED
Object MGI
MGI is a private higher education institution in South Africa offering a range of career-focused undergraduate and postgraduate programs.
 E1046429 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: MGI | Statement: [Midrand Graduate Institute, alternativeName, MGI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MGI
Context triple: [Midrand Graduate Institute, alternativeName, MGI]
  • A. MGI
    MGI is the stock ticker symbol for MoneyGram International, a global provider of money transfer and payment services.
  • B. Miga
    Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • C. Mici
    Mici is the given name of Mária Harkányi, a person known by this shorter personal name.
  • D. Mause
    Mause is a character in Allan Ramsay’s pastoral play "The Gentle Shepherd," typically depicted as an old, wise woman who provides comic relief and guidance.
  • E. Muste
    Muste is a surname most notably associated with A. J. Muste, a prominent 20th-century American clergyman and pacifist activist.
  • 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: MGI
Triple: [Midrand Graduate Institute, alternativeName, MGI]
Generated description
MGI is a private higher education institution in South Africa offering a range of career-focused undergraduate and postgraduate programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MGI
Target entity description: MGI is a private higher education institution in South Africa offering a range of career-focused undergraduate and postgraduate programs.
  • A. MGI
    MGI is the stock ticker symbol for MoneyGram International, a global provider of money transfer and payment services.
  • B. Miga
    Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • C. Mici
    Mici is the given name of Mária Harkányi, a person known by this shorter personal name.
  • D. Mause
    Mause is a character in Allan Ramsay’s pastoral play "The Gentle Shepherd," typically depicted as an old, wise woman who provides comic relief and guidance.
  • E. Muste
    Muste is a surname most notably associated with A. J. Muste, a prominent 20th-century American clergyman and pacifist activist.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da094288190aff108b006c3da1f completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75f2c645481909c3e5ecdd239965d completed May 3, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f75f8e9b608190830ab942098a798c completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:45 p.m.