Triple
T27106564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Virginia gubernatorial election |
E686593
|
entity |
| Predicate | marginOfVictoryVotes |
P8454
|
FINISHED |
| Object | 63,480 |
—
|
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: 63,480 | Statement: [2021 Virginia gubernatorial election, marginOfVictoryVotes, 63,480]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marginOfVictoryVotes Context triple: [2021 Virginia gubernatorial election, marginOfVictoryVotes, 63,480]
-
A.
marginOfVictoryElectoralVotes
Indicates the difference in the number of electoral votes between the winning and losing candidates or parties in an election.
-
B.
marginOfVictoryPercentage
Indicates the percentage difference between the winner’s and the runner-up’s scores or votes in a contest or competition.
-
C.
marginOfVictoryCategory
Indicates the qualitative range or bracket into which the size of a victory’s point/score difference falls.
-
D.
popularVoteMargin
chosen
Indicates the difference in the number or percentage of popular votes received by two candidates or options in an election.
-
E.
defeatedByMargin
Indicates that one entity was defeated by another with a specified numerical margin or difference in score, votes, or performance.
- 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_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 8:51 a.m.