Triple

T6418536
Position Surface form Disambiguated ID Type / Status
Subject Charles Robberts Swart E127887 entity
Predicate placeOfBirth P1 FINISHED
Object Winburg
Winburg is a small historic town in South Africa’s Free State province, known as one of the country’s oldest Voortrekker settlements.
E603595 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: Winburg | Statement: [Charles Robberts Swart, placeOfBirth, Winburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winburg
Context triple: [Charles Robberts Swart, placeOfBirth, Winburg]
  • A. Beaufort West
    Beaufort West is a historic service and transport hub in South Africa’s semi-arid Karoo region, known as a gateway town on the N1 route between Cape Town and the interior.
  • B. Ermelo
    Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
  • C. Grahamstown
    Grahamstown is a historic university town in South Africa, renowned for its colonial-era architecture and the annual National Arts Festival.
  • D. Greytown
    Greytown is a small town in KwaZulu-Natal, South Africa, historically notable as the birthplace of Boer general and first South African Prime Minister Louis Botha.
  • E. Randburg
    Randburg is a residential and commercial suburb in the north of Johannesburg, South Africa, known for its shopping centers, business districts, and leafy neighborhoods.
  • 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: Winburg
Triple: [Charles Robberts Swart, placeOfBirth, Winburg]
Generated description
Winburg is a small historic town in South Africa’s Free State province, known as one of the country’s oldest Voortrekker settlements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Winburg
Target entity description: Winburg is a small historic town in South Africa’s Free State province, known as one of the country’s oldest Voortrekker settlements.
  • A. Beaufort West
    Beaufort West is a historic service and transport hub in South Africa’s semi-arid Karoo region, known as a gateway town on the N1 route between Cape Town and the interior.
  • B. Ermelo
    Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
  • C. Grahamstown
    Grahamstown is a historic university town in South Africa, renowned for its colonial-era architecture and the annual National Arts Festival.
  • D. Greytown
    Greytown is a small town in KwaZulu-Natal, South Africa, historically notable as the birthplace of Boer general and first South African Prime Minister Louis Botha.
  • E. Randburg
    Randburg is a residential and commercial suburb in the north of Johannesburg, South Africa, known for its shopping centers, business districts, and leafy neighborhoods.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068eb6c988190b54de6182d0f490d completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d50423808190817cad8601490a77 completed March 27, 2026, 7:05 p.m.
NEDg Description generation batch_69c6d6732d9c8190878b54902306b128 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d82d77388190a3022a2366a5aec7 completed March 27, 2026, 7:19 p.m.
Created at: March 22, 2026, 4:42 p.m.