Triple
T10369510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Ugandan general election |
E244339
|
entity |
| Predicate | presidentialVoteShareWinner |
P93616
|
FINISHED |
| Object | 58.64% |
—
|
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: 58.64% | Statement: [2021 Ugandan general election, presidentialVoteShareWinner, 58.64%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentialVoteShareWinner Context triple: [2021 Ugandan general election, presidentialVoteShareWinner, 58.64%]
-
A.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
B.
republicanPopularVoteShare
Indicates the proportion of total votes in an election that were cast for the Republican Party.
-
C.
electoralVotesWinner
Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
-
D.
typicalPresidentialVote
Indicates that the vote cast aligns with the usual or characteristic voting pattern observed in presidential elections.
-
E.
electoralVoteOutcome
Indicates the result of an election in terms of how electoral votes are allocated or distributed among candidates or options.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9725fa08190816bedf0acefbc2a |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:01 p.m.