Triple

T9689603
Position Surface form Disambiguated ID Type / Status
Subject Albertina Sisulu E234502 entity
Predicate residence P75 FINISHED
Object Soweto, South Africa E31807 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: Soweto, South Africa | Statement: [Albertina Sisulu, residence, Soweto, South Africa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soweto, South Africa
Context triple: [Albertina Sisulu, residence, Soweto, South Africa]
  • A. Soweto chosen
    Soweto is a historically significant township in Johannesburg, South Africa, known for its central role in the struggle against apartheid and its rich urban culture.
  • B. Johannesburg, South Africa
    Johannesburg, South Africa is the country’s largest city and economic hub, known for its role in the gold mining industry and as a major urban center in Gauteng province.
  • C. Pretoria, South Africa
    Pretoria, South Africa is one of the country’s three capital cities, serving as the administrative capital and a major center for government, education, and culture.
  • D. Germiston, South Africa
    Germiston, South Africa is an industrial city in the East Rand region of Gauteng, historically known for its gold mining and manufacturing sectors.
  • E. Manenberg
    Manenberg is a township on the Cape Flats in Cape Town, South Africa, known for its history of forced removals under apartheid and ongoing social challenges alongside strong community activism and culture.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d02b20881909d7c0d5d6aaafcb0 completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1911427d48190855506ab61f8a2ce completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:17 p.m.