Triple
T35040624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serdar Berdimuhamedow |
E1011058
|
entity |
| Predicate | electedWithVoteShare |
P9216
|
FINISHED |
| Object | approximately 73 percent |
—
|
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 73 percent | Statement: [Serdar Berdimuhamedow, electedWithVoteShare, approximately 73 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedWithVoteShare Context triple: [Serdar Berdimuhamedow, electedWithVoteShare, approximately 73 percent]
-
A.
electedWith
Indicates that one entity attained an elected position or office together with, or as part of the same electoral outcome as, another entity.
-
B.
presidentialVoteShareWinner
Indicates that the subject is the candidate (or party) who received the highest share of votes in a presidential election within the specified context.
-
C.
leader2VoteShare
Indicates the proportion of total votes received by the second-ranked leader or leading candidate in an election or poll.
-
D.
popularVoteShare
chosen
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
-
E.
citizensSeatsWon
Indicates the number of legislative or representative seats won by citizens (or citizen-backed entities) in an election or governing body.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
Created at: May 3, 2026, 4:01 p.m.