Triple

T14047871
Position Surface form Disambiguated ID Type / Status
Subject Sioma, Zambia E338006 entity
Predicate tourismAttraction P530 FINISHED
Object Ngonye Falls E67304 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: Ngonye Falls | Statement: [Sioma, Zambia, tourismAttraction, Ngonye Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngonye Falls
Context triple: [Sioma, Zambia, tourismAttraction, Ngonye Falls]
  • A. Ngonye Falls chosen
    Ngonye Falls is a broad, horseshoe-shaped waterfall on the Zambezi River in western Zambia, noted for its scenic beauty and less-developed, remote setting compared to Victoria Falls.
  • B. Chavuma Falls
    Chavuma Falls is a scenic waterfall on the Zambezi River near the Zambia–Angola border, known for its rugged rock formations and relatively remote, unspoiled setting.
  • C. Itanda Falls
    Itanda Falls is a powerful series of white-water rapids on the Victoria Nile in Uganda, popular for rafting and kayaking.
  • D. Lugard Falls
    Lugard Falls is a series of spectacular white-water rapids and eroded rock formations on the Galana River in Kenya, known for its dramatic scenery and wildlife viewing.
  • E. Zongo Falls
    Zongo Falls is a scenic waterfall and popular natural attraction located in the Kongo Central Province of the Democratic Republic of the Congo.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c88b5e48190b0f0149102c08992 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d756bb48190ae5598e48b281f71 completed May 8, 2026, 4:58 a.m.
Created at: April 9, 2026, 10:20 p.m.