Triple
T5460932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian government |
E122590
|
entity |
| Predicate | legislativeTermLengthSenators |
P36961
|
FINISHED |
| Object | 8 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: 8 years | Statement: [Brazilian government, legislativeTermLengthSenators, 8 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislativeTermLengthSenators Context triple: [Brazilian government, legislativeTermLengthSenators, 8 years]
-
A.
electsTermLength
Indicates the length of time for which an entity is elected to hold a particular position or office.
-
B.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
C.
electoralTermOfUpperHouse
chosen
Indicates the duration or length of time that members serve in the upper house of a legislature before their terms expire.
-
D.
termLengthNumber
Indicates the numerical value representing the duration or length of a specified term.
-
E.
numberOfSenators
Indicates the total count of senators associated with a given political body, region, or 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.