Triple
T25447175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court of Kenya |
E637666
|
entity |
| Predicate | minimumNumberOfJudgesForQuorum |
P14823
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Supreme Court of Kenya, minimumNumberOfJudgesForQuorum, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumNumberOfJudgesForQuorum Context triple: [Supreme Court of Kenya, minimumNumberOfJudgesForQuorum, 5]
-
A.
minimumNumberOfJustices
chosen
Indicates the smallest number of justices required for a court or judicial body to validly conduct its proceedings or make decisions.
-
B.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
-
C.
hasNumberOfJurors
Indicates the relationship specifying how many jurors are associated with a given legal case, trial, or proceeding.
-
D.
quorumDefinedBy
Indicates that the rules or criteria for achieving a quorum are specified or determined by a particular source or authority.
-
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.