Triple

T21750000
Position Surface form Disambiguated ID Type / Status
Subject Aaron Mokoena E536888 entity
Predicate placeOfBirth P1 FINISHED
Object Boipatong NE NERFINISHED

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: Boipatong | Statement: [Aaron Mokoena, placeOfBirth, Boipatong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boipatong
Context triple: [Aaron Mokoena, placeOfBirth, Boipatong]
  • A. Boipatong chosen
    Boipatong is a township in Gauteng, South Africa, historically known for the 1992 Boipatong massacre during the final years of apartheid.
  • B. Phokeng
    Phokeng is a large Tswana-speaking village in South Africa known as the capital of the Royal Bafokeng Nation and for its proximity to the platinum-rich mining areas near Rustenburg.
  • C. Bophelong
    Bophelong is a township in the Emfuleni area of Gauteng, South Africa, known as a residential community near the industrial city of Vanderbijlpark.
  • D. Buhe
    Buhe was a Chinese politician of Mongol ethnicity who served in various regional leadership roles, including as chairman of the Inner Mongolia Autonomous Region.
  • E. Thohoyandou
    Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a79fb74819098a247c4f31598a8 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:50 p.m.