Triple

T5772180
Position Surface form Disambiguated ID Type / Status
Subject Mbombela Stadium E127354 entity
Predicate locatedIn P40 FINISHED
Object Nelspruit E127354 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: Nelspruit | Statement: [Mbombela Stadium, locatedIn, Nelspruit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelspruit
Context triple: [Mbombela Stadium, locatedIn, Nelspruit]
  • A. Nelspruit chosen
    Nelspruit is a city in northeastern South Africa, now known as Mbombela, noted as a regional hub near Kruger National Park and for hosting matches during the 2010 FIFA World Cup.
  • B. Bronkhorstspruit
    Bronkhorstspruit is a small farming town in Gauteng, South Africa, known historically as the site of an early battle in the First Boer War.
  • C. Hoedspruit
    Hoedspruit is a small South African town near Kruger National Park, known as a gateway to wildlife reserves and scenic Lowveld attractions.
  • D. Matsapha
    Matsapha is an industrial town in central Eswatini known for its manufacturing hub and proximity to the city of Manzini.
  • E. Umgeni River
    The Umgeni River is a major river in South Africa that flows through KwaZulu-Natal to the Indian Ocean, passing through the city of Durban and supporting important ecological and urban systems.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029adda188190a5c26c363614145f completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c107dc9a2481908474defa2c849595 completed March 23, 2026, 9:29 a.m.
Created at: March 22, 2026, 3:50 p.m.