Triple
T10021078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabinet Secretary of Kenya |
E200609
|
entity |
| Predicate | removalGrounds |
P41278
|
FINISHED |
| Object | gross violation of the Constitution |
—
|
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: gross violation of the Constitution | Statement: [Cabinet Secretary of Kenya, removalGrounds, gross violation of the Constitution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: removalGrounds Context triple: [Cabinet Secretary of Kenya, removalGrounds, gross violation of the Constitution]
-
A.
removalGroundsInclude
Indicates that the specified grounds or reasons are included among the justifications for a removal action.
-
B.
removalOnAdviceOf
Indicates that one entity is removed or taken away as a result of guidance, recommendation, or instruction provided by another entity.
-
C.
opposedOnGroundsOf
Indicates that one party is against or rejects another party, proposal, or action specifically for the stated reasons or justification.
-
D.
hasGrounds
Indicates that one entity possesses or includes a physical area of land or outdoor space associated with it.
-
E.
reasonForDismissal
chosen
Indicates the cause or justification for which an entity (such as a person, case, or item) was dismissed, terminated, or removed.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd79485881909df562bfff36ccf4 |
completed | April 2, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:53 p.m.