Triple
T32712882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KANU |
E836444
|
entity |
| Predicate | influencedConstitution |
P83745
|
FINISHED |
| Object | independence constitution of Kenya |
—
|
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: independence constitution of Kenya | Statement: [KANU, influencedConstitution, independence constitution of Kenya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedConstitution Context triple: [KANU, influencedConstitution, independence constitution of Kenya]
-
A.
constitutionalModelInfluence
Indicates that one constitutional model has influenced the design, interpretation, or development of another constitutional system or framework.
-
B.
constitutionalDocumentAffected
Indicates that an action, event, or legal change has an impact on, modifies, or otherwise affects a constitutional document.
-
C.
constitutionalImpact
Indicates the effect or influence that an action, event, or condition has on a constitution or constitutional framework.
-
D.
reformInfluencedBy
chosen
Indicates that a reform was shaped, guided, or significantly affected by another person, idea, event, or reform.
-
E.
constitutionalArticleAffected
Indicates that a specific constitutional article is impacted, modified, or otherwise influenced by an action, event, or legal measure.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 1, 2026, 1:11 a.m.