Triple

T18811641
Position Surface form Disambiguated ID Type / Status
Subject Letaba Rest Camp E460029 entity
Predicate locatedOn P40 FINISHED
Object Letaba River 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: Letaba River | Statement: [Letaba Rest Camp, locatedOn, Letaba River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Letaba River
Context triple: [Letaba Rest Camp, locatedOn, Letaba River]
  • A. Letaba River chosen
    The Letaba River is a major watercourse in northeastern South Africa that flows through the Kruger National Park, supporting diverse wildlife and ecosystems along its banks.
  • B. Lukosi River
    The Lukosi River is a watercourse in western Zimbabwe that feeds into the larger Gwayi River system.
  • C. Gambila River
    The Gambila River is a significant river in northwestern Pakistan that flows through Khyber Pakhtunkhwa, supporting agriculture and settlements in the Bannu region before joining the Kurram River.
  • D. Ahiran River
    The Ahiran River is a lesser-known river in central India that serves as a tributary within the Hasdeo River basin.
  • E. Muya River
    The Muya River is a tributary watercourse in eastern Siberia, Russia, that feeds into the larger Vitim River system.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3dc01248190ab1c8943d180ca05 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.