Triple

T13543294
Position Surface form Disambiguated ID Type / Status
Subject Glen Austin E323444 entity
Predicate nearbyCity P350 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: [Glen Austin, nearbyCity, Sandton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandton
Context triple: [Glen Austin, nearbyCity, 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. Randburg central business district
    Randburg central business district is the main commercial and administrative hub of Randburg, a northern suburb of Johannesburg, South Africa.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da094288190aff108b006c3da1f completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.