Triple

T21181140
Position Surface form Disambiguated ID Type / Status
Subject 2009 FIFA Confederations Cup E521952 entity
Predicate hostCity P1798 FINISHED
Object Rustenburg NE NERFINISHED

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: Rustenburg | Statement: [2009 FIFA Confederations Cup, hostCity, Rustenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rustenburg
Context triple: [2009 FIFA Confederations Cup, hostCity, Rustenburg]
  • A. Rustenburg chosen
    Rustenburg is a city in South Africa’s North West Province known for its mining industry and as one of the venues for the 2010 FIFA World Cup.
  • B. Hartbeespoort
    Hartbeespoort is a town and popular recreational area in North West Province, South Africa, known for its scenic setting around the Hartbeespoort Dam and views of the Magaliesberg mountains.
  • C. Harrismith
    Harrismith is a town in the Free State province of South Africa, situated near the Drakensberg mountains and serving as an important transport and agricultural hub.
  • D. Witbank
    Witbank is a South African coal-mining city in Mpumalanga province, now officially known as Emalahleni.
  • E. Keetmanshoop
    Keetmanshoop is a historic town in southern Namibia known as a regional commercial center and gateway to the surrounding semi-desert landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301da0ac8190a965fee7b6d845e7 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:01 p.m.