Triple
T28291543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 Afghan presidential election |
E713439
|
entity |
| Predicate | votesCastApprox |
P8455
|
FINISHED |
| Object | 1.8 million |
—
|
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: 1.8 million | Statement: [2019 Afghan presidential election, votesCastApprox, 1.8 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votesCastApprox Context triple: [2019 Afghan presidential election, votesCastApprox, 1.8 million]
-
A.
totalVotesCast
chosen
Indicates the total number of votes that have been cast in a given election or voting event.
-
B.
voteCount
Indicates the number of votes that have been cast for or associated with a particular item or option.
-
C.
numberOfVoters
Indicates the total count of individuals who participated in a particular vote or election.
-
D.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
E.
votesForPercentage
Indicates the proportion of total votes that one entity receives in favor of another entity or option, usually expressed as a percentage.
- 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_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 11:29 p.m.