Triple
T27106559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Virginia gubernatorial election |
E686593
|
entity |
| Predicate | popularVoteThirdPlacePercentage |
P29081
|
FINISHED |
| Object | 0.7% |
—
|
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: 0.7% | Statement: [2021 Virginia gubernatorial election, popularVoteThirdPlacePercentage, 0.7%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularVoteThirdPlacePercentage Context triple: [2021 Virginia gubernatorial election, popularVoteThirdPlacePercentage, 0.7%]
-
A.
thirdPlaceVoteShare
Indicates the proportion of total votes received by the candidate or option that finished in third place in an election or contest.
-
B.
popularVotesReceivedByThirdPlace
Indicates the number of popular votes obtained by the candidate or option that finished in third place in an election or contest.
-
C.
popularVoteShareThird
chosen
Indicates the proportion of total popular votes received by the third-place candidate or option in an election.
-
D.
thirdPlacePopularVote
Indicates that an entity finished in third place in terms of the number of votes received in a popular vote contest or election.
-
E.
thirdPlaceParty
Indicates that an entity finished in third place in a competitive event or ranking.
- 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_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 8:51 a.m.