Triple
T12755074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bujagali Falls |
E304836
|
entity |
| Predicate | impactOfSubmergence |
P106728
|
FINISHED |
| Object | loss of major white-water rafting section |
—
|
LITERAL 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: loss of major white-water rafting section | Statement: [Bujagali Falls, impactOfSubmergence, loss of major white-water rafting section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfSubmergence Context triple: [Bujagali Falls, impactOfSubmergence, loss of major white-water rafting section]
-
A.
submergedBy
Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another entity.
-
B.
formedBySubmerging
Indicates that something comes into existence or is created as a result of being placed or held beneath the surface of a liquid.
-
C.
submerged
Indicates that one entity is located beneath the surface of a liquid or other surrounding medium, typically fully covered by it.
-
D.
sinkingConsequence
Indicates the outcome or effect that results from something sinking.
-
E.
displacementSubmerged
Indicates the amount of fluid displaced by an object when it is submerged.
- F. None of above. chosen
Provenance (4 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.