Triple
T8620877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate of Kenya |
E204159
|
entity |
| Predicate | numberOfNominatedMembers |
P68910
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [Senate of Kenya, numberOfNominatedMembers, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNominatedMembers Context triple: [Senate of Kenya, numberOfNominatedMembers, 20]
-
A.
hasNominatedMembers
chosen
Indicates that an entity has selected and put forward specific individuals to serve as members of another body, group, or role.
-
B.
numberOfAppointedMembers
Indicates the specific count of members who have been formally appointed to a group, body, or position.
-
C.
numberOfElectedMembers
Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
-
D.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
E.
numberOfAdditionalMembers
Indicates the count of extra members associated with an entity beyond its primary or standard membership.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 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.