Triple

T1671846
Position Surface form Disambiguated ID Type / Status
Subject Highveld E36142 entity
Predicate contains P35 FINISHED
Object Sasolburg E135668 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: Sasolburg | Statement: [Highveld, contains, Sasolburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasolburg
Context triple: [Highveld, contains, Sasolburg]
  • A. Sasolburg chosen
    Sasolburg is an industrial town in South Africa’s Free State province, known primarily for its large petrochemical complex and proximity to the Vaal River.
  • B. Rustenburg
    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.
  • C. Swartberg Complex
    The Swartberg Complex is a mountainous conservation area in South Africa renowned for its dramatic sandstone ranges, rich biodiversity, and exceptional fynbos vegetation within the Cape Floristic Region.
  • D. Oudtshoorn
    Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
  • E. Graaff-Reinet
    Graaff-Reinet is a historic town in South Africa’s Eastern Cape, known as one of the country’s oldest settlements and a center of early Afrikaner history.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62439e48819084e46b2719cdac58 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71b0cde08190a210cf387459e9ad completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.