Triple
T208730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Diet |
E4665
|
entity |
| Predicate | votingSystemInLowerHouse |
P1307
|
FINISHED |
| Object | parallel voting system |
—
|
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: parallel voting system | Statement: [The Diet, votingSystemInLowerHouse, parallel voting system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votingSystemInLowerHouse Context triple: [The Diet, votingSystemInLowerHouse, parallel voting system]
-
A.
hasVotingSystemLowerHouse
chosen
Indicates that a political entity’s lower legislative chamber uses a specified voting or electoral system.
-
B.
votingSystemUpperHouse
Indicates a relationship where a specified voting system is used to elect or constitute the members of an upper legislative house.
-
C.
lowerHouse
Indicates that one entity functions as the lower chamber of a bicameral legislature in relation to a given political body or system.
-
D.
votingMethod
Indicates the procedure or system by which a vote is cast, collected, and counted in a decision-making or electoral process.
-
E.
electionMethod
Indicates the process or system used to select a candidate or make a decision 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e8b9b908190b69a3f0594b95f7e |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b4e3c2881908d83e8218aa9f2d9 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.