Triple

T418290
Position Surface form Disambiguated ID Type / Status
Subject Free State E8042 entity
Predicate borderedBy P224 FINISHED
Object Gauteng E8041 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: Gauteng | Statement: [Free State, borderedBy, Gauteng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gauteng
Context triple: [Free State, borderedBy, Gauteng]
  • A. Gauteng chosen
    Gauteng is South Africa’s smallest yet most populous and economically dominant province, encompassing major urban centers like Johannesburg and Pretoria.
  • B. KwaZulu-Natal
    KwaZulu-Natal is a coastal province in eastern South Africa known for its Zulu cultural heritage, major cities like Durban and Pietermaritzburg, and diverse landscapes ranging from beaches to the Drakensberg mountains.
  • C. Northern Cape
    The Northern Cape is South Africa’s largest and most sparsely populated province, known for its arid landscapes, diamond mining history, and significant Afrikaans-speaking communities.
  • D. Western Cape
    Western Cape is a province in southwestern South Africa known for its large Afrikaner population, coastal landscapes, and the city of Cape Town.
  • E. Mpumalanga
    Mpumalanga is a scenic eastern province of South Africa known for its dramatic landscapes, wildlife reserves, and attractions such as parts of the Kruger National Park and the Blyde River Canyon.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee9059248190ba901680431914b5 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e6cf1048190abf3f13ba35a3980 completed March 1, 2026, 1:26 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.