Triple

T3190519
Position Surface form Disambiguated ID Type / Status
Subject Vaal River E66809 entity
Predicate passesNear P416 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: [Vaal River, passesNear, Sasolburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasolburg
Context triple: [Vaal River, passesNear, 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. Randjespark
    Randjespark is a commercial and residential suburb in the Midrand area of Johannesburg, South Africa, known for its business parks and proximity to major transport routes.
  • E. Bloemfontein waterworks
    Bloemfontein waterworks was a strategically vital water supply installation for the city of Bloemfontein during the Second Boer War.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e7d0d081908b1c36bb909a58bf completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b9a9bc88190b7090bda8fe6260c completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.