Triple
T5978505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian elections |
E133059
|
entity |
| Predicate | presidentialElectionFrequency |
P2971
|
FINISHED |
| Object | every 4 years |
—
|
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: every 4 years | Statement: [Brazilian elections, presidentialElectionFrequency, every 4 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentialElectionFrequency Context triple: [Brazilian elections, presidentialElectionFrequency, every 4 years]
-
A.
inaugurationFrequency
Indicates how often inaugurations occur within a given time period or context.
-
B.
legislativePeriodicity
Indicates how frequently a legislative body or process recurs or is scheduled to occur over time.
-
C.
portionUpForElectionEachCycle
Indicates what fraction of the total membership or seats is contested in each election cycle.
-
D.
electionCycle
chosen
Indicates the recurring period or sequence of time in which elections are organized, conducted, and repeated for a given office or political system.
-
E.
constitutionalFrequency
Indicates how often a constitutional or fundamental condition, symptom, or state occurs over a given period.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.