Triple
T10336139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1924 United States presidential election |
E243008
|
entity |
| Predicate | RobertMLaFollettePopularVoteShare |
P93760
|
FINISHED |
| Object | 16.6% |
—
|
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: 16.6% | Statement: [1924 United States presidential election, RobertMLaFollettePopularVoteShare, 16.6%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RobertMLaFollettePopularVoteShare Context triple: [1924 United States presidential election, RobertMLaFollettePopularVoteShare, 16.6%]
-
A.
republicanPopularVoteShare
Indicates the proportion of total votes in an election that were cast for the Republican Party.
-
B.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
C.
WillkiePopularVotes
Indicates the number of popular votes received by Willkie in a given election or electoral context.
-
D.
popularVotesForWilliamMcKinley
Indicates the number of popular votes that were cast in favor of William McKinley in an election.
-
E.
electoralVotesWinner
Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:53 a.m.