Triple
T25447177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court of Kenya |
E637666
|
entity |
| Predicate | mandatoryRetirementAgeOfJudges |
P2272
|
FINISHED |
| Object | 70 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: 70 years | Statement: [Supreme Court of Kenya, mandatoryRetirementAgeOfJudges, 70 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mandatoryRetirementAgeOfJudges Context triple: [Supreme Court of Kenya, mandatoryRetirementAgeOfJudges, 70 years]
-
A.
maximumAgeOfJudges
Indicates the highest allowable age that individuals may have in order to serve as judges.
-
B.
hasLifeTenureJudges
Indicates that the judges associated with an office, position, or institution hold their roles for life, typically remaining in office until they choose to retire, resign, or are removed under exceptional circumstances.
-
C.
hasSeniorJudge
Indicates that one entity is assigned or linked to another entity serving in the role of a senior judge.
-
D.
mandatoryRetirementAge
chosen
Indicates the age at which an individual is required by rule or policy to retire from a position or role.
-
E.
minimumJurorAge
Indicates the minimum age requirement that an individual must meet to be eligible to serve as a juror.
- 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f70455f48190b23c09dbed884015 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:02 p.m.