Triple

T6990339
Position Surface form Disambiguated ID Type / Status
Subject Grand Inga Dam Project E162068 entity
Predicate locatedNear P294 FINISHED
Object Inga Falls E629156 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: Inga Falls | Statement: [Grand Inga Dam Project, locatedNear, Inga Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inga Falls
Context triple: [Grand Inga Dam Project, locatedNear, Inga Falls]
  • A. Inga Falls chosen
    Inga Falls is a massive series of rapids and waterfalls on the Congo River in the Democratic Republic of the Congo, known for its immense water flow and hydroelectric potential.
  • B. 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.
  • C. Gurara Falls
    Gurara Falls is a major scenic waterfall and popular tourist attraction in central Nigeria, renowned for its impressive cascades and natural beauty.
  • D. Kwa Falls
    Kwa Falls is a scenic waterfall and popular natural tourist attraction located within Nigeria’s Cross River State.
  • E. Itanda Falls
    Itanda Falls is a powerful series of white-water rapids on the Victoria Nile in Uganda, popular for rafting and kayaking.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbc08758819083d36a1fc0463b27 completed March 27, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a110ca08190be2aa78948379495 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:32 p.m.