Triple
T37976493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libertarian Party presidential ticket, 2016 |
E947438
|
entity |
| Predicate | presidentialNominationBallotCount |
P138996
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Libertarian Party presidential ticket, 2016, presidentialNominationBallotCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentialNominationBallotCount Context triple: [Libertarian Party presidential ticket, 2016, presidentialNominationBallotCount, 2]
-
A.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
B.
ballotCountToNominate
chosen
Indicates the number of voting rounds or ballots required for a candidate or option to achieve formal nomination.
-
C.
nominatedOnBallot
Indicates that an entity has been officially proposed or listed as a candidate on a specific ballot for selection or voting.
-
D.
ballotsCountedBy
Indicates that the ballots in an election or vote are counted or tallied by a specified person, group, or entity.
-
E.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.