Triple
T29717011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cámara de Senadores |
E751939
|
entity |
| Predicate | sistemaElectoral |
P17877
|
FINISHED |
| Object | representación proporcional |
—
|
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: representación proporcional | Statement: [Cámara de Senadores, sistemaElectoral, representación proporcional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sistemaElectoral Context triple: [Cámara de Senadores, sistemaElectoral, representación proporcional]
-
A.
electionMethod
Indicates the process or system used to select a candidate or make a decision in an election.
-
B.
electoralNature
Indicates that something has the character, features, or conditions related to elections or the electoral process.
-
C.
countryElectoralSystem
Indicates the type of electoral system used by a country to conduct its elections.
-
D.
electoralSystemContext
chosen
Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
-
E.
electoralSystemConcerned
Indicates that something is related to, affected by, or focused on a particular electoral system.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672dd9ab881908969657a9bd48098 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 7:34 p.m.