Triple
T13054139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buhera |
E327524
|
entity |
| Predicate | mainIncomeSource |
P24934
|
FINISHED |
| Object | agricultural production |
—
|
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: agricultural production | Statement: [Buhera, mainIncomeSource, agricultural production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainIncomeSource Context triple: [Buhera, mainIncomeSource, agricultural production]
-
A.
incomeType
chosen
Indicates the category or source classification of an entity’s income within a given context.
-
B.
majorRevenueSource
Indicates that one entity serves as the primary or dominant source of revenue for another entity.
-
C.
usesForIncome
Indicates that one entity derives income or financial gain from using another entity.
-
D.
mainOccupationFrom
Indicates that the specified occupation is the primary or main job held by the given entity.
-
E.
income
Indicates the amount of money an entity receives, typically over a specified period, from work, investments, or other sources.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:58 p.m.