Triple
T37901863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleksandr Lebed |
E945434
|
entity |
| Predicate | electionVoteShare |
P9216
|
FINISHED |
| Object | 14.52% |
—
|
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: 14.52% | Statement: [Aleksandr Lebed, electionVoteShare, 14.52%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionVoteShare Context triple: [Aleksandr Lebed, electionVoteShare, 14.52%]
-
A.
popularVoteShare
chosen
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
-
B.
GreenVoteSharePercentage
Indicates the percentage of total votes that were cast for the Green party in a given election or voting context.
-
C.
EFFVoteSharePercentage
Indicates the percentage of total votes that were cast in favor of the EFF in a given election or voting context.
-
D.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
E.
MapaiVoteShare
Indicates the proportion of total votes that were cast in favor of the Mapai party in a given election or electoral context.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffa15d53208190ab8574d6c7913e18 |
completed | May 9, 2026, 9:04 p.m. |
| PD | Predicate disambiguation | batch_69ff9eee681c81909434e79c627cb528 |
completed | May 9, 2026, 8:54 p.m. |
Created at: May 3, 2026, 4:20 p.m.