Triple
T37245841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Fernando |
E923848
|
entity |
| Predicate | locatedInCountryContinent |
—
|
GENERATED |
| Object | South America |
—
|
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: locatedInCountryContinent Context triple: [San Fernando, locatedInCountryContinent, South America]
-
A.
isInContinent
chosen
Indicates that one place or region is geographically located within the boundaries of a specific continent.
-
B.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
-
C.
locatedInContinentOfHostCountry
Indicates that something is situated within the continent on which its host country is located.
-
D.
representsCountryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or context.
-
E.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:15 p.m.