Triple
T8623768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitutional Court of the Russian Federation |
E204233
|
entity |
| Predicate | ageLimitForJudges |
P32459
|
FINISHED |
| Object | 70 |
—
|
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: 70 | Statement: [Constitutional Court of the Russian Federation, ageLimitForJudges, 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageLimitForJudges Context triple: [Constitutional Court of the Russian Federation, ageLimitForJudges, 70]
-
A.
maximumAgeOfJudges
chosen
Indicates the highest allowable age that individuals may have in order to serve as judges.
-
B.
judgesServeUntil
Indicates that a judge continues to hold and perform their judicial office up to a specified end date or condition.
-
C.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
-
D.
lengthOfJudgeship
Indicates the duration of time that an individual serves or has served in a judicial office or judgeship.
-
E.
judgesMustBeLawyers
Indicates that anyone serving as a judge is required to be a lawyer.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5730309081909a9a0256c9bf5f8f |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc455906f8819082edd79cb4a1cf28 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:26 p.m.