Triple

T12027873
Position Surface form Disambiguated ID Type / Status
Subject Thabo Mbeki E286324 entity
Predicate birthPlace P1 FINISHED
Object Mbewuleni
Mbewuleni is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of former South African president Thabo Mbeki.
 E959864 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: Mbewuleni | Statement: [Thabo Mbeki, birthPlace, Mbewuleni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mbewuleni
Context triple: [Thabo Mbeki, birthPlace, Mbewuleni]
  • A. Mbulu
    Mbulu is a local name for the Congo peafowl, a rare and elusive forest-dwelling bird species native to the Congo Basin in Central Africa.
  • B. Mbulu
    Mbulu is an ethnic group in northern Tanzania, more commonly known as the Iraqw people, noted for their Cushitic language and intensive agriculture.
  • C. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • D. Mambasa
    Mambasa is a town and administrative center located in the forested Ituri region of northeastern Democratic Republic of the Congo.
  • E. Massinga
    Massinga is a coastal town in southern Mozambique that serves as an important local center within Inhambane Province.
  • 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: Mbewuleni
Triple: [Thabo Mbeki, birthPlace, Mbewuleni]
Generated description
Mbewuleni is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of former South African president Thabo Mbeki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mbewuleni
Target entity description: Mbewuleni is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of former South African president Thabo Mbeki.
  • A. Mbulu
    Mbulu is a local name for the Congo peafowl, a rare and elusive forest-dwelling bird species native to the Congo Basin in Central Africa.
  • B. Mbulu
    Mbulu is an ethnic group in northern Tanzania, more commonly known as the Iraqw people, noted for their Cushitic language and intensive agriculture.
  • C. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • D. Mambasa
    Mambasa is a town and administrative center located in the forested Ituri region of northeastern Democratic Republic of the Congo.
  • E. Massinga
    Massinga is a coastal town in southern Mozambique that serves as an important local center within Inhambane Province.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f13ae8819097a5740f7c51df82 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8111b88190a42a8904a2d26862 completed May 1, 2026, 11:16 a.m.
NEDg Description generation batch_69f48fc7a8848190a06b34cc45db4789 completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495fbfa2481908a1d757a27909d5a completed May 1, 2026, 12:01 p.m.
Created at: April 8, 2026, 9:47 p.m.