Triple
T13375039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Standard of Kenya |
E319161
|
entity |
| Predicate | designChangeRule |
P24476
|
FINISHED |
| Object | design may change with each new president |
—
|
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: design may change with each new president | Statement: [Presidential Standard of Kenya, designChangeRule, design may change with each new president]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designChangeRule Context triple: [Presidential Standard of Kenya, designChangeRule, design may change with each new president]
-
A.
typicalRuleModification
chosen
Indicates a change made to a standard or default rule, adjusting how that rule normally applies or operates.
-
B.
hasDesignChange
Indicates that an entity has undergone a modification or alteration to its original design.
-
C.
designVariant
Indicates that one entity is an alternative design or version derived from or related to another entity’s design.
-
D.
designIssue
Indicates that there is a problem, flaw, or concern related to the design of an entity or system.
-
E.
decorChanges
Indicates that an entity alters or updates the decorative appearance or arrangement of another entity or environment.
- 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.