Triple
T12755090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bujagali Falls |
E304836
|
entity |
| Predicate | statusAfterDam |
P33898
|
FINISHED |
| Object | largely submerged |
—
|
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: largely submerged | Statement: [Bujagali Falls, statusAfterDam, largely submerged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterDam Context triple: [Bujagali Falls, statusAfterDam, largely submerged]
-
A.
statusAfterRescue
Indicates the condition or state an entity is in following a rescue event or operation.
-
B.
damState
chosen
Indicates the operational or physical condition a dam is currently in, such as its status, integrity, or level of functionality.
-
C.
typeOfDam
Indicates the specific kind or classification of a dam associated with an entity.
-
D.
isMajorDamOf
Indicates that one dam is the primary or most significant dam associated with a particular river, reservoir, or water system.
-
E.
hasDam
Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
- F. None of above.
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_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. |
Created at: April 9, 2026, 5:27 p.m.