Triple

T10653721
Position Surface form Disambiguated ID Type / Status
Subject Killarney, Johannesburg E251035 entity
Predicate nearbyBusinessDistrict P61270 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: [Killarney, Johannesburg, nearbyBusinessDistrict, Sandton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandton
Context triple: [Killarney, Johannesburg, nearbyBusinessDistrict, 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. Muizenberg
    Muizenberg is a seaside suburb of Cape Town, South Africa, known for its popular surfing beach and colorful Victorian beach huts.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31b72d081908ec8029cd9f6d814 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a71fac48190a6d7c99ebc5aad0a completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:06 p.m.