Triple
T28299400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish general elections |
E713665
|
entity |
| Predicate | votingSystemForCongress |
P39112
|
FINISHED |
| Object | proportional representation |
—
|
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 representation | Statement: [Spanish general elections, votingSystemForCongress, proportional representation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votingSystemForCongress Context triple: [Spanish general elections, votingSystemForCongress, proportional representation]
-
A.
votingSystemChamber
Indicates the specific legislative chamber in which a given voting system is used or applies.
-
B.
votingSystemInSecondChamber
Indicates the type or method of voting used within a legislature’s second (upper) chamber.
-
C.
electoralSystemForLegislature
chosen
Indicates the type of electoral system used to choose members of a particular legislature.
-
D.
countryElectoralSystem
Indicates the type of electoral system used by a country to conduct its elections.
-
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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 11:34 p.m.