Triple
T14264106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | regional electoral tribunals of Chile |
E353598
|
entity |
| Predicate | typeOfElectionCovered |
P113488
|
FINISHED |
| Object | regional elections |
—
|
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: regional elections | Statement: [regional electoral tribunals of Chile, typeOfElectionCovered, regional elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfElectionCovered Context triple: [regional electoral tribunals of Chile, typeOfElectionCovered, regional elections]
-
A.
typeOfElectionContested
Indicates the specific kind or category of election in which an entity is competing or has competed.
-
B.
electoralNature
Indicates that something has the character, features, or conditions related to elections or the electoral process.
-
C.
federalLevelElection
Indicates that the election takes place at the federal (national) level of government rather than at a state, regional, or local level.
-
D.
typeOfVoting
Indicates the specific method or system by which a vote is cast or recorded in a decision-making process.
-
E.
isDirectElection
Indicates that an official or representative is chosen directly by voters rather than by an intermediary body or electoral college.
- F. None of above. chosen
Provenance (4 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6357a8188190ba518a486521052b |
completed | April 14, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:09 a.m.