Triple

T15953943
Position Surface form Disambiguated ID Type / Status
Subject Pienaars River E386884 entity
Predicate hasWaterBody P165 FINISHED
Object Roodeplaat Dam E1186166 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: Roodeplaat Dam | Statement: [Pienaars River, hasWaterBody, Roodeplaat Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roodeplaat Dam
Context triple: [Pienaars River, hasWaterBody, Roodeplaat Dam]
  • A. Roodeplaat Dam chosen
    Roodeplaat Dam is a reservoir near Pretoria in South Africa, primarily used for irrigation, recreation, and as a water supply source.
  • B. Theewaterskloof Dam
    Theewaterskloof Dam is one of the largest dams in the Western Cape of South Africa, serving as a major water supply source for Cape Town and surrounding agricultural areas.
  • C. Hartbeespoort Dam
    Hartbeespoort Dam is a large, popular recreational and irrigation reservoir in South Africa’s North West Province, known for its scenic setting and proximity to Pretoria and Johannesburg.
  • D. Bloemhof Dam
    Bloemhof Dam is a large multipurpose reservoir in South Africa, known for irrigation, flood control, and recreational activities such as fishing and boating.
  • E. Witbank Dam
    Witbank Dam is a large reservoir in South Africa’s Mpumalanga province, known for supporting local industry, water supply, and recreational activities such as fishing and boating.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f810148190ab4989a0e4a5f8c0 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c1b49c819087e5a088d41963ec completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:53 a.m.