Triple

T3296692
Position Surface form Disambiguated ID Type / Status
Subject Zambezi Basin E69232 entity
Predicate containsWaterfall P13549 FINISHED
Object Victoria Falls E8989 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: Victoria Falls | Statement: [Zambezi Basin, containsWaterfall, Victoria Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Falls
Context triple: [Zambezi Basin, containsWaterfall, Victoria Falls]
  • A. Victoria Falls chosen
    Victoria Falls is one of the world’s largest and most famous waterfalls, spanning the Zambezi River between Zambia and Zimbabwe and renowned for its dramatic curtain of falling water and mist.
  • B. Kwa Falls
    Kwa Falls is a scenic waterfall and popular natural tourist attraction located within Nigeria’s Cross River State.
  • C. Kongou Falls
    Kongou Falls is a spectacular multi-tiered waterfall on the Ivindo River in Gabon, renowned for its powerful cascades and pristine rainforest surroundings.
  • D. Uhuru Falls
    Uhuru Falls is a powerful waterfall in northwestern Uganda located near Murchison Falls on the Nile River, known for its dramatic cascades and scenic surroundings.
  • E. Augrabies Falls
    Augrabies Falls is a dramatic waterfall on the Orange River in South Africa, renowned for its powerful cascades through a rugged granite gorge.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb078f3dc8190afb624f62894e48f completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a6e0b008190921835b6790e9980 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:10 p.m.