Triple
T14851270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knesset elections |
E349232
|
entity |
| Predicate | votersChoose |
P26341
|
FINISHED |
| Object | party lists rather than individual candidates |
—
|
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: party lists rather than individual candidates | Statement: [Knesset elections, votersChoose, party lists rather than individual candidates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votersChoose Context triple: [Knesset elections, votersChoose, party lists rather than individual candidates]
-
A.
voteResult
Indicates the outcome or decision produced by a voting process involving the related entities.
-
B.
popularVoteOutcome
Indicates the result of a popular vote, specifying which option or candidate received the majority or winning share of votes.
-
C.
numberOfVoters
Indicates the total count of individuals who participated in a particular vote or election.
-
D.
popularVoteType
chosen
Indicates the specific method or category by which a popular vote is conducted or classified in an election or decision process.
-
E.
popularVotes
Indicates the number of votes an entity (such as a candidate or option) receives directly from individual voters in an election or decision process.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded441e70881909bbf62b66d932aff |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.