Triple
T8241780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election, 1900 |
E192552
|
entity |
| Predicate | electoralVotesForWilliamMcKinley |
P27351
|
FINISHED |
| Object | 292 |
—
|
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: 292 | Statement: [United States presidential election, 1900, electoralVotesForWilliamMcKinley, 292]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralVotesForWilliamMcKinley Context triple: [United States presidential election, 1900, electoralVotesForWilliamMcKinley, 292]
-
A.
electoralVotesWinner
Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
-
B.
popularVotesReceivedByGroverCleveland
Indicates the number of popular votes that were cast for Grover Cleveland in a given election or electoral context.
-
C.
electoralVotesReceived
chosen
Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
-
D.
popularVotesForWoodrowWilson
Indicates the number of popular votes that were cast in favor of Woodrow Wilson in a given election or electoral context.
-
E.
popularVotesReceivedByBenjaminHarrison
Indicates the number of popular votes that were cast for Benjamin Harrison in an election.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783f67708190a4e1c4078c3a6fb0 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.