Triple
T10624097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanagawa proportional representation block |
E250276
|
entity |
| Predicate | voteWeighting |
P13230
|
FINISHED |
| Object | proportional to party vote share |
—
|
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: proportional to party vote share | Statement: [Kanagawa proportional representation block, voteWeighting, proportional to party vote share]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voteWeighting Context triple: [Kanagawa proportional representation block, voteWeighting, proportional to party vote share]
-
A.
publicVoteWeight
Indicates that an entity’s influence or impact in a public voting process is quantified by a specific weight or value.
-
B.
voteType
Indicates the specific category or kind of vote associated with an action or decision (e.g., upvote, downvote, approval, rejection).
-
C.
votingBasis
chosen
Indicates the principle, criterion, or grounds on which a vote or voting decision is made.
-
D.
voteCount
Indicates the number of votes that have been cast for or associated with a particular item or option.
-
E.
voteRecord
Indicates that an entity has cast a specific vote or holds a particular voting position in a given decision or 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7f11fc8190aed858f2e1443c08 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:52 p.m.