Triple

T11258380
Position Surface form Disambiguated ID Type / Status
Subject Gautrain E266498 entity
Predicate connectsTo P845 FINISHED
Object Sandton E266508 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 | Statement: [Gautrain, connectsTo, Sandton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandton
Context triple: [Gautrain, connectsTo, Sandton]
  • A. Sandton chosen
    Sandton is an affluent commercial and financial district in Johannesburg, South Africa, known as one of the country’s primary business hubs.
  • B. Braamfontein
    Braamfontein is a central Johannesburg neighborhood known as a major cultural, educational, and judicial hub of South Africa.
  • C. Johannesburg CBD
    Johannesburg CBD is the historic commercial and financial heart of Johannesburg, characterized by dense high-rise development, major business institutions, and extensive transport links.
  • D. Pretoria CBD
    Pretoria CBD is the historic and commercial downtown core of Pretoria, South Africa, known for its government buildings, offices, shops, and landmarks such as Church Square.
  • E. Sandton City
    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.
  • 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_69e509f7d404819086cf5d062edbaff5 completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:31 p.m.