Triple
T13054276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyanga District |
E327528
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nyangombe Falls |
E397292
|
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: Nyangombe Falls | Statement: [Nyanga District, contains, Nyangombe Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyangombe Falls Context triple: [Nyanga District, contains, Nyangombe Falls]
-
A.
Nyangombe Falls
chosen
Nyangombe Falls is a scenic waterfall in eastern Zimbabwe known for its broad rock cascades and natural swimming pools within the Nyanga 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.
Mutarazi Falls
Mutarazi Falls is one of Zimbabwe’s tallest and most spectacular waterfalls, plunging dramatically down the edge of the Eastern Highlands.
-
D.
Ngonye Falls
Ngonye Falls is a broad, horseshoe-shaped waterfall on the Zambezi River in western Zambia, noted for its scenic beauty and less-developed, remote setting compared to Victoria Falls.
-
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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bb52d88190b5be12000e27a2c9 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c771fc8190afb6b0f449c67294 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 8:58 p.m.