Triple

T14972803
Position Surface form Disambiguated ID Type / Status
Subject Mutirikwi River E373365 entity
Predicate feeds P9008 FINISHED
Object Lake Mutirikwi E84751 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 Mutirikwi | Statement: [Mutirikwi River, feeds, Lake Mutirikwi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Mutirikwi
Context triple: [Mutirikwi River, feeds, Lake Mutirikwi]
  • A. Lake Mutirikwi chosen
    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.
  • B. Lake Rwanyakizinga
    Lake Rwanyakizinga is a freshwater lake in eastern Rwanda that forms part of the wetland and savanna landscape within Akagera National Park.
  • C. Nawakwa Lake
    Nawakwa Lake is a small, scenic lake located within Harriman State Park in New York, popular for outdoor recreation and nature retreats.
  • D. Lake Eyasi
    Lake Eyasi is a shallow, seasonal saline lake in northern Tanzania, known for its remote setting near the Serengeti and as home to the Hadza hunter-gatherer people.
  • E. Udziro Lake
    Udziro Lake is a high-altitude alpine lake in Georgia’s Racha region, renowned for its striking blue waters and panoramic views of the surrounding Caucasus Mountains.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be8af688190832efb00695f8b20 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:50 a.m.