Triple
T19036190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Likud–Yisrael Beiteinu |
E465877
|
entity |
| Predicate | electoralPerformance2013VoteShare |
P62275
|
FINISHED |
| Object | about 23.3 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: about 23.3 percent | Statement: [Likud–Yisrael Beiteinu, electoralPerformance2013VoteShare, about 23.3 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralPerformance2013VoteShare Context triple: [Likud–Yisrael Beiteinu, electoralPerformance2013VoteShare, about 23.3 percent]
-
A.
NewDemocracyVoteShare
Indicates the proportion of total votes received by the New Democracy party in a given election or electoral context.
-
B.
MapaiVoteShare
Indicates the proportion of total votes that were cast in favor of the Mapai party in a given election or electoral context.
-
C.
AlliancePopularVoteShare
chosen
Indicates the proportion of total votes received by a political alliance in an election relative to all valid votes cast.
-
D.
wonParliamentaryElection
Indicates that one party or candidate achieved victory in a parliamentary election over others.
-
E.
LabourSeatsWon
Indicates the number of parliamentary seats won by the Labour Party in 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7438f748190912c28912e6b97a6 |
completed | April 20, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69e4a3001e388190aa6057266514e75a |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.