Triple
T26308009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential election of Chile 1958 |
E661740
|
entity |
| Predicate | runnerUpVoteSharePercentage |
P160990
|
FINISHED |
| Object | approximately 28.9 |
—
|
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 28.9 | Statement: [Presidential election of Chile 1958, runnerUpVoteSharePercentage, approximately 28.9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpVoteSharePercentage Context triple: [Presidential election of Chile 1958, runnerUpVoteSharePercentage, approximately 28.9]
-
A.
secondRoundRunnerUpVoteSharePercentage
Indicates the percentage of total votes received by the candidate who finished as runner-up in the second round of a contest or election.
-
B.
popularVoteRunnerUpVotes
Indicates the number of votes received by the candidate who finished second in the popular vote of an election.
-
C.
firstRoundVoteShareWinnerPercentage
Indicates the percentage of total votes received by the winning candidate or option in the first round of voting.
-
D.
secondRoundVoteShareOf
Indicates the proportion of total votes an entity receives in the second round of a multi-round voting or election process.
-
E.
runnerUpScore
Indicates the score achieved by the participant or entity that finished in second place in a competition or ranking.
- F. None of above. chosen
Provenance (4 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60ee46ed08190bfba31e879318fea |
completed | May 2, 2026, 2:49 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c68b02c8190870758d79cdec68b |
completed | May 2, 2026, 2:38 p.m. |
Created at: April 26, 2026, 10:20 p.m.