Triple
T9821327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2001 Ugandan presidential election |
E238536
|
entity |
| Predicate | voteShareRunnerUpApprox |
P68283
|
FINISHED |
| Object | about 27 percent |
—
|
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: about 27 percent | Statement: [2001 Ugandan presidential election, voteShareRunnerUpApprox, about 27 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voteShareRunnerUpApprox Context triple: [2001 Ugandan presidential election, voteShareRunnerUpApprox, about 27 percent]
-
A.
popularVoteShare
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
-
B.
voteShareMainOpponent
chosen
Indicates the proportion of total votes received by the primary opposing candidate or party in an election.
-
C.
voteResult
Indicates the outcome or decision produced by a voting process involving the related entities.
-
D.
voteCount
Indicates the number of votes that have been cast for or associated with a particular item or option.
-
E.
AlliancePopularVoteShare
Indicates the proportion of total votes received by a political alliance in an election relative to all valid votes cast.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3147ecc81908cfca84c05a367d9 |
completed | April 2, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:31 p.m.