Triple
T34910978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Connecticut gubernatorial election |
E1006863
|
entity |
| Predicate | mainOpponentPopularVotePercentage |
P166215
|
FINISHED |
| Object | approximately 48.2% |
—
|
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: approximately 48.2% | Statement: [2014 Connecticut gubernatorial election, mainOpponentPopularVotePercentage, approximately 48.2%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainOpponentPopularVotePercentage Context triple: [2014 Connecticut gubernatorial election, mainOpponentPopularVotePercentage, approximately 48.2%]
-
A.
opponentPopularVotePercentage
chosen
Indicates the percentage of the total popular vote received by the opposing candidate or party in an election.
-
B.
percentageMainOpponent
Indicates the proportion, expressed as a percentage, that a main opponent represents relative to a defined total or context.
-
C.
popularVoteCountOpponent
Indicates the number of votes received by the opposing candidate or party in a popular vote contest.
-
D.
smithPopularVotePercentage
Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting context.
-
E.
runnerUpVoteSharePercentage
Indicates the percentage of total votes received by the candidate or option that finished in second place.
- 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4 p.m.