Triple
T1556076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1988 United States presidential election |
E33206
|
entity |
| Predicate | popularVotesForGeorgeHWBush |
P9220
|
FINISHED |
| Object | 48686297 |
—
|
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: 48686297 | Statement: [1988 United States presidential election, popularVotesForGeorgeHWBush, 48686297]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularVotesForGeorgeHWBush Context triple: [1988 United States presidential election, popularVotesForGeorgeHWBush, 48686297]
-
A.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
B.
popularVotes
chosen
Indicates the number of votes an entity (such as a candidate or option) receives directly from individual voters in an election or decision process.
-
C.
wonPresidentialElection
Indicates that one entity achieved victory over others in a presidential election.
-
D.
electoralVotesWinner
Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
-
E.
popularVoteWinner
Indicates that the subject is the candidate who received the highest number of individual votes cast by the electorate 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.