Triple
T16978569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mwenezi |
E411880
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Mwenezi River |
—
|
NE NERFINISHED |
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: Mwenezi River | Statement: [Mwenezi, traversedBy, Mwenezi River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mwenezi River Context triple: [Mwenezi, traversedBy, Mwenezi River]
-
A.
Mwenezi River
chosen
The Mwenezi River is a significant river in southern Africa that flows through Zimbabwe and Mozambique, supporting local agriculture, wildlife, and communities along its course.
-
B.
Usutu River
The Usutu River is a major river in southern Africa that flows through South Africa, Eswatini, and Mozambique before emptying into the Indian Ocean.
-
C.
Unya River
The Unya River is a waterway in northwestern Russia that feeds into the larger Pechora River system.
-
D.
Lukusuzi River
The Lukusuzi River is a watercourse in eastern Zambia that forms a natural boundary and key ecological feature of Lukusuzi National Park.
-
E.
Busira River
The Busira River is a major waterway in the Democratic Republic of the Congo that forms part of the central Congo River basin and drains extensive areas of tropical rainforest.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d185a9408190a991bf8a1ef694f0 |
completed | April 18, 2026, 6:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.