Triple
T14796339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyugis |
E347786
|
entity |
| Predicate | surroundingRuralEconomy |
P57714
|
FINISHED |
| Object | smallholder farming |
—
|
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: smallholder farming | Statement: [Oyugis, surroundingRuralEconomy, smallholder farming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surroundingRuralEconomy Context triple: [Oyugis, surroundingRuralEconomy, smallholder farming]
-
A.
hasRuralEconomySector
chosen
Indicates that an entity participates in, contains, or is associated with an economic sector based on rural activities or rural development.
-
B.
agriculturalDependence
Indicates that one entity relies on another for agricultural resources, production, or support.
-
C.
economicExtensionOf
Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
-
D.
localEconomyImpact
Indicates the effect that an action, event, or entity has on the economic conditions, activities, or performance of a specific local area or community.
-
E.
semiRuralCharacter
Indicates that a place or area has characteristics intermediate between rural and urban, combining elements of both environments.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.