Triple
T24717175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paraguayan general elections |
E612193
|
entity |
| Predicate | deputiesElectedFrom |
P21595
|
FINISHED |
| Object | multi-member constituencies |
—
|
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: multi-member constituencies | Statement: [Paraguayan general elections, deputiesElectedFrom, multi-member constituencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deputiesElectedFrom Context triple: [Paraguayan general elections, deputiesElectedFrom, multi-member constituencies]
-
A.
hasNumberOfDeputies
Indicates the specific count of deputies associated with or assigned to an entity.
-
B.
delegatesRepresent
Indicates that certain individuals or groups act on behalf of, and with the authority of, another party in representing their interests or decisions.
-
C.
deputyOf
Indicates that one entity serves as the subordinate or second-in-command to another, acting with delegated authority on their behalf.
-
D.
orderOfDeputies
Indicates the hierarchical sequence or ranking of deputies within a governing or organizational structure.
-
E.
electedFrom
chosen
Indicates that an individual has been chosen through an election to represent or serve a specific geographic area, constituency, or jurisdiction.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:38 a.m.