Triple
T33329152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election, 1868 |
E853354
|
entity |
| Predicate | popularVoteMarginPercentageForSeymour |
P8454
|
FINISHED |
| Object | 47.3 |
—
|
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: 47.3 | Statement: [United States presidential election, 1868, popularVoteMarginPercentageForSeymour, 47.3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularVoteMarginPercentageForSeymour Context triple: [United States presidential election, 1868, popularVoteMarginPercentageForSeymour, 47.3]
-
A.
popularVotesForHoratio Seymour
Indicates the number of popular votes that were cast in favor of Horatio Seymour in an election.
-
B.
smithPopularVotePercentage
Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting context.
-
C.
popularVoteMargin
chosen
Indicates the difference in the number or percentage of popular votes received by two candidates or options in an election.
-
D.
houseVoteMargin
Indicates the numerical difference between the number of votes for and against a measure in a legislative house.
-
E.
RobertMLaFollettePopularVoteShare
Indicates the proportion of the total popular vote that was received by Robert M. La Follette in a given election or electoral context.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 1, 2026, 1:34 a.m.