Triple

T7574739
Position Surface form Disambiguated ID Type / Status
Subject Ufipa Plateau E179332 entity
Predicate borders P224 FINISHED
Object Lake Rukwa E598813 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: Lake Rukwa | Statement: [Ufipa Plateau, borders, Lake Rukwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Rukwa
Context triple: [Ufipa Plateau, borders, Lake Rukwa]
  • A. Lake Rukwa chosen
    Lake Rukwa is a shallow, endorheic lake in southwestern Tanzania, situated in the East African Rift system and known for its fluctuating size and rich birdlife.
  • B. Lake Mutirikwi
    Lake Mutirikwi is a large man-made reservoir in southeastern Zimbabwe, known for its scenic surroundings, recreational activities, and proximity to Masvingo and the Great Zimbabwe ruins.
  • C. Lake Malawi
    Lake Malawi is one of Africa’s largest and deepest freshwater lakes, renowned for its exceptional biodiversity, especially its hundreds of endemic cichlid fish species.
  • D. Lake Rwanyakizinga
    Lake Rwanyakizinga is a freshwater lake in eastern Rwanda that forms part of the wetland and savanna landscape within Akagera National Park.
  • E. Lake Kyoga
    Lake Kyoga is a large, shallow freshwater lake in central Uganda that forms part of the Nile River system and supports important fisheries, wetlands, and local transportation.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f94a25148190b5b76e000e0336c4 completed March 27, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a20bb4708190af7bc67db7c108b3 completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:51 p.m.