Triple
T38237479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guzamala |
E1013660
|
entity |
| Predicate | hasMainOccupation |
—
|
GENERATED |
| Object | Farming |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainOccupation Context triple: [Guzamala, hasMainOccupation, Farming]
-
A.
hasTypicalOccupation
chosen
Indicates that an entity commonly or characteristically works in a particular job or profession.
-
B.
hasOccupationInWork
Indicates that an entity holds or performs a specific occupation within a particular work, project, or creative production.
-
C.
hasPrimarySectorEmployment
Indicates that an entity is employed in the primary economic sector (e.g., agriculture, mining, forestry, or related extractive activities).
-
D.
hasOccupationAttribute
Indicates that an entity possesses a specific characteristic, quality, or attribute related to its occupation or job.
-
E.
hasOccupationFocus
Indicates that an entity’s occupation is primarily centered on, or specialized in, a particular field, role, or area of activity.
- F. None of above.
Provenance (1 batch)
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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.