Triple
T13052495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Uganda |
E327480
|
entity |
| Predicate | RiverNileSymbolizes |
P108472
|
FINISHED |
| Object | source of the Nile |
—
|
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: source of the Nile | Statement: [Coat of arms of Uganda, RiverNileSymbolizes, source of the Nile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RiverNileSymbolizes Context triple: [Coat of arms of Uganda, RiverNileSymbolizes, source of the Nile]
-
A.
joinsNile
Indicates that one river or watercourse flows into and becomes part of the Nile River.
-
B.
locatedOnBankOfNile
Indicates that something is situated on or directly adjacent to the banks of the Nile River.
-
C.
historicallyAssociatedRiver
Indicates a relationship where an entity has a notable historical connection or association with a particular river, such as through events, development, or cultural significance.
-
D.
hasLongestRiver
Indicates that one entity possesses or contains the river that is longer than any other river associated with the compared entities.
-
E.
isOneOfLongestRiverSystemsIn
Indicates that a river system ranks among the longest river systems within the specified geographic region or set.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
| PDg | Predicate description generation | batch_69d98a9577d081908ddef9ea77e408e2 |
completed | April 10, 2026, 11:41 p.m. |
Created at: April 9, 2026, 8:57 p.m.