Triple
T17098002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutirikwi Dam |
E414899
|
entity |
| Predicate | creates |
P490
|
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 Dam, creates, Lake Mutirikwi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Mutirikwi Context triple: [Mutirikwi Dam, creates, 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.
Mombasha Lake
Mombasha Lake is a freshwater lake located in the town of Monroe in Orange County, New York, known for recreational activities such as fishing and boating.
-
D.
Nawakwa Lake
Nawakwa Lake is a small, scenic lake located within Harriman State Park in New York, popular for outdoor recreation and nature retreats.
-
E.
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.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbffafb08190baf9e0b4fdf1b404 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eefd5f08190b9eb8a81e45a9921 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.