Triple

T5716852
Position Surface form Disambiguated ID Type / Status
Subject Lake St Lucia E126043 entity
Predicate hasInflow P967 FINISHED
Object Nyalazi River E580781 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: Nyalazi River | Statement: [Lake St Lucia, hasInflow, Nyalazi River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyalazi River
Context triple: [Lake St Lucia, hasInflow, Nyalazi River]
  • A. Ruvubu River
    The Ruvubu River is a major East African river that flows through Burundi and Tanzania, forming part of the upper Nile basin.
  • B. Inza River
    The Inza River is a waterway in western Russia that serves as a significant tributary within the Volga River basin.
  • C. Kwando River
    The Kwando River is a major watercourse in southern Africa that flows through Angola, Namibia, and Botswana, supporting rich wetlands and wildlife in the Zambezi basin.
  • D. Funza River
    The Funza River is a significant waterway in central Colombia that drains the Bogotá savanna and forms part of the upper basin of the Magdalena River.
  • E. Mfolozi River chosen
    The Mfolozi River is a major river in KwaZulu-Natal, South Africa, known for flowing through the Hluhluwe–iMfolozi Park and draining into the Indian Ocean near the iSimangaliso Wetland Park.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024ba819c8190bb7d775405dda9d6 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712687f408190ac948dcc990e8e08 completed March 27, 2026, 11:27 p.m.
Created at: March 22, 2026, 3:46 p.m.