Triple
T28291539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 Afghan presidential election |
E713439
|
entity |
| Predicate | voteShareRunnerUpPercentage |
P160990
|
FINISHED |
| Object | 39.52 |
—
|
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: 39.52 | Statement: [2019 Afghan presidential election, voteShareRunnerUpPercentage, 39.52]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voteShareRunnerUpPercentage Context triple: [2019 Afghan presidential election, voteShareRunnerUpPercentage, 39.52]
-
A.
runnerUpVoteSharePercentage
chosen
Indicates the percentage of total votes received by the candidate or option that finished in second place.
-
B.
popularVoteShare
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
-
C.
rulingPartyPopularVotePercentage
Indicates the percentage of the total popular vote received by the party currently in power or holding the ruling position.
-
D.
voterTurnoutPercentage
Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
-
E.
popularVoteRunnerUpVotes
Indicates the number of votes received by the candidate who finished second in the popular vote of an 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 11:29 p.m.