Triple

T15299799
Position Surface form Disambiguated ID Type / Status
Subject Boiling Pot E365754 entity
Predicate locatedBelow P10157 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: [Boiling Pot, locatedBelow, Victoria Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Falls
Context triple: [Boiling Pot, locatedBelow, 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. Tugela Falls
    Tugela Falls is a spectacular multi-drop waterfall in the Drakensberg Mountains of South Africa, often cited as one of the tallest waterfalls in the world.
  • C. Kwa Falls
    Kwa Falls is a scenic waterfall and popular natural tourist attraction located within Nigeria’s Cross River State.
  • D. 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.
  • E. 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.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0368869f8819098cf9e7801e37548 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3b8a8c81908aa936613565b87a completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:15 a.m.