Triple
T5978504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian elections |
E133059
|
entity |
| Predicate | mayoralReelectionLimit |
P67832
|
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, mayoralReelectionLimit, 1 consecutive term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayoralReelectionLimit Context triple: [Brazilian elections, mayoralReelectionLimit, 1 consecutive term]
-
A.
numberOfTermsAsMayor
Indicates the number of distinct terms an individual has served in the role of mayor.
-
B.
limitedReelectionOfGovernor
Indicates that the governor’s ability to be reelected is restricted, such as by term limits or a cap on consecutive terms.
-
C.
wonMayoraltyOf
Indicates that one entity won the election to become mayor of a specified place or jurisdiction.
-
D.
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.
-
E.
canBeReelected
Indicates that an individual currently holding an office or position is eligible to be chosen again for the same role in a subsequent election.
- 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_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. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:04 p.m.