Triple

T8180677
Position Surface form Disambiguated ID Type / Status
Subject Yusuf Dadoo E191050 entity
Predicate placeOfBirth P1 FINISHED
Object Krugersdorp E58791 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: Krugersdorp | Statement: [Yusuf Dadoo, placeOfBirth, Krugersdorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krugersdorp
Context triple: [Yusuf Dadoo, placeOfBirth, Krugersdorp]
  • A. Krugersdorp chosen
    Krugersdorp is a historic mining town in South Africa known for its gold deposits and location on the West Rand of the Gauteng province.
  • B. Roodepoort
    Roodepoort is a suburban city on the western side of Johannesburg in South Africa, known for its residential areas, shopping centers, and proximity to the Witwatersrand hills.
  • C. Klerksdorp
    Klerksdorp is a historic mining and agricultural city in South Africa’s North West Province, known as one of the country’s oldest European settlements and a regional economic hub.
  • D. Boksburg
    Boksburg is an industrial and residential city on the East Rand in Gauteng, South Africa, historically known for its coal mining and proximity to Johannesburg.
  • E. Durbanville
    Durbanville is a suburban town in the northern outskirts of Cape Town, South Africa, known for its wine estates and residential character.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4ac012948190bb4e2448561692e6 completed March 31, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf86f8848190a196f7c8d3ad2b36 completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:40 p.m.