Triple
T2533640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1940 United States presidential election |
E56220
|
entity |
| Predicate | RooseveltPopularVotes |
P40921
|
FINISHED |
| Object | 27481913 |
—
|
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: 27481913 | Statement: [1940 United States presidential election, RooseveltPopularVotes, 27481913]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RooseveltPopularVotes Context triple: [1940 United States presidential election, RooseveltPopularVotes, 27481913]
-
A.
wonPresidentialElection
Indicates that one entity achieved victory over others in a presidential election.
-
B.
typicalPresidentialVote
Indicates that the vote cast aligns with the usual or characteristic voting pattern observed in presidential elections.
-
C.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
D.
electoralVotesReceived
Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
-
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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd64a2194819097c66cbeb37fe859 |
completed | March 7, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69abd0c4a5dc819097812db50443420a |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd648487881908ce8ca22def77294 |
completed | March 7, 2026, 7:39 a.m. |
Created at: March 6, 2026, 9:47 p.m.