Triple
T10369511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Ugandan general election |
E244339
|
entity |
| Predicate | presidentialVoteShareRunnerUp |
P1227
|
FINISHED |
| Object | 34.83% |
—
|
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: 34.83% | Statement: [2021 Ugandan general election, presidentialVoteShareRunnerUp, 34.83%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentialVoteShareRunnerUp Context triple: [2021 Ugandan general election, presidentialVoteShareRunnerUp, 34.83%]
-
A.
electoralVoteRunnerUp
Indicates that the subject is the candidate who received the second-highest number of electoral votes in a given election.
-
B.
popularVoteRunnerUp
chosen
Indicates that one entity is the candidate who received the second-highest number of votes in a popular vote for the other entity’s election or contest.
-
C.
popularVoteOpponent
Indicates that one entity is the opponent of another in a popular vote or general election contest.
-
D.
secondPartyPopularVoteShare
Indicates the proportion of total popular votes received by the second party in an election.
-
E.
republicanPopularVoteShare
Indicates the proportion of total votes in an election that were cast for the Republican Party.
- 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_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. |
Created at: April 6, 2026, 12:01 p.m.