Triple
T6410344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election, 1916 |
E127687
|
entity |
| Predicate | popularVotesForWoodrowWilson |
P70482
|
FINISHED |
| Object | 9,129,606 |
—
|
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: 9,129,606 | Statement: [United States presidential election, 1916, popularVotesForWoodrowWilson, 9,129,606]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularVotesForWoodrowWilson Context triple: [United States presidential election, 1916, popularVotesForWoodrowWilson, 9,129,606]
-
A.
RooseveltPopularVotes
Indicates the number of popular votes received by Roosevelt in a given election or voting context.
-
B.
EisenhowerPopularVote
Indicates that the subject received a specified share or count of the popular vote in an election involving Dwight D. Eisenhower.
-
C.
WillkiePopularVotes
Indicates the number of popular votes received by Willkie in a given election or electoral context.
-
D.
RooseveltPopularVotePercentage
Indicates the percentage of the total popular vote that was received by Roosevelt in a given election or context.
-
E.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cf81508190bc09e58ec45bc858 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:41 p.m.