Triple
T1461164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 United States presidential election |
E31513
|
entity |
| Predicate | marginInPopularVote |
P8454
|
FINISHED |
| Object | Hillary Clinton by about 2.1 percentage points |
—
|
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: Hillary Clinton by about 2.1 percentage points | Statement: [2016 United States presidential election, marginInPopularVote, Hillary Clinton by about 2.1 percentage points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marginInPopularVote Context triple: [2016 United States presidential election, marginInPopularVote, Hillary Clinton by about 2.1 percentage points]
-
A.
popularVoteMargin
chosen
Indicates the difference in the number or percentage of popular votes received by two candidates or options in an election.
-
B.
smithPopularVotePercentage
Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting context.
-
C.
smithPopularVote
Indicates that Smith received a specified number or share of votes in a popular vote election or ballot.
-
D.
popularVoteShare
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
-
E.
approvalVoteMargin
Indicates the numerical difference between the number of approval votes received and a comparison threshold or opposing votes in a decision or 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59ecb60819082217b034e18381f |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.