Triple
T27106561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Virginia gubernatorial election |
E686593
|
entity |
| Predicate | popularVoteRunnerUpRaw |
P118893
|
FINISHED |
| Object | 1,600,116 |
—
|
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: 1,600,116 | Statement: [2021 Virginia gubernatorial election, popularVoteRunnerUpRaw, 1,600,116]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularVoteRunnerUpRaw Context triple: [2021 Virginia gubernatorial election, popularVoteRunnerUpRaw, 1,600,116]
-
A.
popularVoteRunnerUp
Indicates that one entity is the candidate who received the second-highest number of votes in a popular vote for the other entity’s election or contest.
-
B.
popularVoteRunnerUpVotes
chosen
Indicates the number of votes received by the candidate who finished second in the popular vote of an election.
-
C.
popularVoteOpponent
Indicates that one entity is the opponent of another in a popular vote or general election contest.
-
D.
popularVoteLoserTotal
Indicates that the subject is the candidate who lost the election overall but received the specified total number of popular votes.
-
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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 27, 2026, 8:51 a.m.