Triple
T8640352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabinet of Kenya |
E204628
|
entity |
| Predicate | previousTitleOfMembers |
P1648
|
FINISHED |
| Object | Ministers |
—
|
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: Ministers | Statement: [Cabinet of Kenya, previousTitleOfMembers, Ministers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTitleOfMembers Context triple: [Cabinet of Kenya, previousTitleOfMembers, Ministers]
-
A.
previousTitle
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
B.
previousNumberOfMembers
Indicates the number of members an entity had at an earlier or prior point in time.
-
C.
formerMemberName
Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
-
D.
memberTitle
chosen
Indicates the formal title or designation held by a member within a group, organization, or body.
-
E.
formerMemberOf
Indicates that an entity once belonged to or was affiliated with a group, organization, or body, but is no longer a member.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47944d1c819081f448f14d04bf9d |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.