Triple
T37440686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōkuma-machi |
E930410
|
entity |
| Predicate | hasPrimaryIndustryBefore2011 |
—
|
GENERATED |
| Object | agriculture |
—
|
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: hasPrimaryIndustryBefore2011 Context triple: [Ōkuma-machi, hasPrimaryIndustryBefore2011, agriculture]
-
A.
hasHistoricIndustry
Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
-
B.
hasPrincipalIndustry
chosen
Indicates that an entity’s main or primary industry of operation is the specified industry.
-
C.
hasSecondaryIndustry
Indicates that an entity is associated with an additional, non-primary industry in which it operates or participates.
-
D.
hadPrimaryBusinessModel
Indicates that an entity’s main or central way of generating revenue or creating economic value was based on a specified business model.
-
E.
hasPrimarySectorEmployment
Indicates that an entity is employed in the primary economic sector (e.g., agriculture, mining, forestry, or related extractive activities).
- 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.