Triple

T4288355
Position Surface form Disambiguated ID Type / Status
Subject City of Johannesburg Metropolitan Municipality E97325 entity
Predicate includesArea P1393 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: [City of Johannesburg Metropolitan Municipality, includesArea, Sandton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandton
Context triple: [City of Johannesburg Metropolitan Municipality, includesArea, 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. Muizenberg
    Muizenberg is a seaside suburb of Cape Town, South Africa, known for its popular surfing beach and colorful Victorian beach huts.
  • E. Mitchells Plain
    Mitchells Plain is a large, predominantly residential township in Cape Town, South Africa, known for its dense population, socio-economic challenges, and vibrant community life.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35060b70081908479c95b2afe8ec5 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d06ccbf081908bc23b5f194b9587 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:08 p.m.