Triple
T13374806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabinet Secretaries of Kenya |
E319156
|
entity |
| Predicate | canBeRemovedThrough |
P2359
|
FINISHED |
| Object | Parliamentary process |
—
|
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: Parliamentary process | Statement: [Cabinet Secretaries of Kenya, canBeRemovedThrough, Parliamentary process]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeRemovedThrough Context triple: [Cabinet Secretaries of Kenya, canBeRemovedThrough, Parliamentary process]
-
A.
canBeRemovedBy
chosen
Indicates that one entity is capable of eliminating, detaching, or undoing another entity or its effect.
-
B.
cannotBeRemovedBy
Indicates that one entity is not capable of removing, deleting, or otherwise eliminating another entity.
-
C.
canBeDeleted
Indicates that the referenced entity is eligible or permitted to be removed from the system.
-
D.
mayRemove
Indicates that one entity is permitted or authorized to remove another entity or its association.
-
E.
canBeRemovedFromSetting
Indicates that an entity is capable of being taken out of or detached from a particular context, environment, or configuration.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcda64a48190b53243a763cd175b |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.