Triple

T1226276
Position Surface form Disambiguated ID Type / Status
Subject Winnie Mandela E26333 entity
Predicate placeOfBirth P1 FINISHED
Object Bizana, Eastern Cape, South Africa
Bizana is a rural town in South Africa’s Eastern Cape province, historically notable as the birthplace of anti-apartheid activist Winnie Madikizela-Mandela.
E140774 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: Bizana, Eastern Cape, South Africa | Statement: [Winnie Mandela, placeOfBirth, Bizana, Eastern Cape, South Africa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bizana, Eastern Cape, South Africa
Context triple: [Winnie Mandela, placeOfBirth, Bizana, Eastern Cape, South Africa]
  • A. Mbabane
    Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
  • B. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • C. Polokwane
    Polokwane is a city in South Africa’s Limpopo province that served as one of the venues for matches during the 2010 FIFA World Cup.
  • D. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • E. Oudtshoorn
    Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
  • 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: Bizana, Eastern Cape, South Africa
Triple: [Winnie Mandela, placeOfBirth, Bizana, Eastern Cape, South Africa]
Generated description
Bizana is a rural town in South Africa’s Eastern Cape province, historically notable as the birthplace of anti-apartheid activist Winnie Madikizela-Mandela.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bizana, Eastern Cape, South Africa
Target entity description: Bizana is a rural town in South Africa’s Eastern Cape province, historically notable as the birthplace of anti-apartheid activist Winnie Madikizela-Mandela.
  • A. Mbabane
    Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
  • B. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • C. Polokwane
    Polokwane is a city in South Africa’s Limpopo province that served as one of the venues for matches during the 2010 FIFA World Cup.
  • D. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • E. Oudtshoorn
    Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be39908481908cca21aaf0828415 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a0fcf508190be3668bd55f6f6d6 completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8ab214c48190a60c6604a67f9cf2 completed March 7, 2026, 8:29 p.m.
NED2 Entity disambiguation (via description) batch_69ac8b0db83c81909db3c501a435f1d1 completed March 7, 2026, 8:31 p.m.
Created at: March 1, 2026, 7:47 p.m.