Triple
T36311540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya Vision 2030 |
E894079
|
entity |
| Predicate | socialPillarFocus |
P190526
|
FINISHED |
| Object | equitable social development |
—
|
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: equitable social development | Statement: [Kenya Vision 2030, socialPillarFocus, equitable social development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialPillarFocus Context triple: [Kenya Vision 2030, socialPillarFocus, equitable social development]
-
A.
socialSphereFocus
Indicates a focus of attention, activity, or influence directed toward a particular social group or sphere of relationships.
-
B.
socialCenter
Indicates that a place functions as a primary gathering point or hub for social interaction and community activities.
-
C.
socialRise
Indicates a change in an entity’s social status or position to a higher or more influential level within a social hierarchy.
-
D.
socialSphere
Indicates the social environment or network within which an entity regularly interacts or maintains relationships.
-
E.
socialSphereOfInfluence
Indicates the range of people or groups that an entity can affect or be affected by through its social relationships and interactions.
- F. None of above. chosen
Provenance (4 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.