Triple
T3908530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyanga National Park |
E87264
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mutarazi Falls |
E326169
|
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: Mutarazi Falls | Statement: [Nyanga National Park, contains, Mutarazi Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutarazi Falls Context triple: [Nyanga National Park, contains, Mutarazi Falls]
-
A.
Mutarazi Falls
chosen
Mutarazi Falls is one of Zimbabwe’s tallest and most spectacular waterfalls, plunging dramatically down the edge of the Eastern Highlands.
-
B.
Itanda Falls
Itanda Falls is a powerful series of white-water rapids on the Victoria Nile in Uganda, popular for rafting and kayaking.
-
C.
Nyangombe Falls
Nyangombe Falls is a scenic waterfall in eastern Zimbabwe known for its broad rock cascades and natural swimming pools within the Nyanga highlands.
-
D.
Uhuru Falls
Uhuru Falls is a powerful waterfall in northwestern Uganda located near Murchison Falls on the Nile River, known for its dramatic cascades and scenic surroundings.
-
E.
Chavuma Falls
Chavuma Falls is a scenic waterfall on the Zambezi River near the Zambia–Angola border, known for its rugged rock formations and relatively remote, unspoiled setting.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed13bb14819096842c6c82342524 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5337f3ae08190ba68fc20a3ba4692 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 9, 2026, 3:22 p.m.