Triple
T4774758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Brazil |
E106016
|
entity |
| Predicate | legalMaximumConsecutiveTerms |
P20633
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [President of Brazil, legalMaximumConsecutiveTerms, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalMaximumConsecutiveTerms Context triple: [President of Brazil, legalMaximumConsecutiveTerms, 2]
-
A.
termLimitDefinedBy
Indicates that the duration or number of terms for holding a position is specified or constrained by a particular rule, law, or authority.
-
B.
maximumConsecutiveTerms
chosen
Indicates the greatest number of terms that can occur in an unbroken, continuous sequence within a given context or structure.
-
C.
electsTermLength
Indicates the length of time for which an entity is elected to hold a particular position or office.
-
D.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
E.
maximumNumberOfTermsForGovernor
Indicates the highest number of terms that a governor is allowed to serve in office.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6584481081908f1041a8827e0b42 |
completed | March 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.