Triple

T12578509
Position Surface form Disambiguated ID Type / Status
Subject Merafong City Local Municipality E300271 entity
Predicate seat P75 FINISHED
Object Carletonville E963172 NE FINISHED

How this triple was built (2 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: Carletonville | Statement: [Merafong City Local Municipality, seat, Carletonville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carletonville
Context triple: [Merafong City Local Municipality, seat, Carletonville]
  • A. Carletonville chosen
    Carletonville is a gold-mining town in South Africa’s Gauteng province, known for its deep-level mines and proximity to the West Rand mining region.
  • B. 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.
  • C. Harrismith
    Harrismith is a town in the Free State province of South Africa, situated near the Drakensberg mountains and serving as an important transport and agricultural hub.
  • D. Winburg
    Winburg is a small historic town in South Africa’s Free State province, known as one of the country’s oldest Voortrekker settlements.
  • E. Vryburg
    Vryburg is a large agricultural and commercial town in South Africa’s North West Province, historically known as a key cattle-farming and transport hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65599a9c0819086233fb2c622d243 completed May 2, 2026, 7:50 p.m.
Created at: April 9, 2026, 4:55 p.m.