Triple
T5978503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian elections |
E133059
|
entity |
| Predicate | gubernatorialReelectionLimit |
P45069
|
FINISHED |
| Object | 1 consecutive term |
—
|
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: 1 consecutive term | Statement: [Brazilian elections, gubernatorialReelectionLimit, 1 consecutive term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gubernatorialReelectionLimit Context triple: [Brazilian elections, gubernatorialReelectionLimit, 1 consecutive term]
-
A.
limitedReelectionOfGovernor
chosen
Indicates that the governor’s ability to be reelected is restricted, such as by term limits or a cap on consecutive terms.
-
B.
allowsImmediatePresidentialReelection
Indicates that a system, rule, or provision permits a president to run for and assume a consecutive subsequent term without any intervening gap in office.
-
C.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
-
D.
inaugurationFrequency
Indicates how often inaugurations occur within a given time period or context.
-
E.
numberOfGovernors
Indicates the total count of governors associated with or governing a specified entity.
- 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.