Triple

T11258817
Position Surface form Disambiguated ID Type / Status
Subject Sandton E266508 entity
Predicate hasPart P35 FINISHED
Object Sandton City E881451 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: Sandton City | Statement: [Sandton, hasPart, Sandton City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandton City
Context triple: [Sandton, hasPart, Sandton City]
  • A. Sandton City chosen
    Sandton City is a major upscale shopping mall and commercial complex in Sandton, Johannesburg, known as one of Africa’s premier retail and business destinations.
  • B. Sandton
    Sandton is an affluent commercial and financial district in Johannesburg, South Africa, known as one of the country’s primary business hubs.
  • C. Vaal Mall
    Vaal Mall is a major regional shopping center in Vanderbijlpark, South Africa, offering a wide range of retail stores, dining options, and entertainment facilities.
  • D. Sandton Convention Centre
    Sandton Convention Centre is a major conference and exhibition venue in Sandton, Johannesburg, known for hosting large-scale business events, trade shows, and international conventions.
  • E. East Rand Mall
    East Rand Mall is a major regional shopping center in Boksburg, South Africa, featuring a wide range of retail stores, dining options, and entertainment facilities.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e936cb048190b4d6fb2851ef8932 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5257dd1e48190a9352fc8b62418da completed April 19, 2026, 6:57 p.m.
Created at: April 8, 2026, 9:31 p.m.