Triple
T35428940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morbier cheese |
E1024000
|
entity |
| Predicate | countryOfNamedPlace |
—
|
GENERATED |
| Object | France |
—
|
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: countryOfNamedPlace Context triple: [Morbier cheese, countryOfNamedPlace, France]
-
A.
countryFound
Indicates that a particular country is the location where an entity was discovered, established, or first identified.
-
B.
countryOfEponym
Indicates that the related entity is named after something (an eponym) originating from or associated with a particular country.
-
C.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
-
D.
countryOf
chosen
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
E.
countryOfReferent
Indicates that one entity is the country with which the referenced entity (the referent) is associated or to which it belongs.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:03 p.m.