Triple
T35665972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Gundy |
E1030562
|
entity |
| Predicate | countryMostAssociatedWith |
—
|
GENERATED |
| Object | United States of 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: countryMostAssociatedWith Context triple: [Van Gundy, countryMostAssociatedWith, United States of America]
-
A.
countryKnownFor
Indicates that a country is widely recognized or notable for a particular characteristic, product, activity, or feature.
-
B.
capitalCountry
Indicates that one place serves as the capital city of a given country.
-
C.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
D.
hasOneOfLargestPopulationsOf
Indicates that the subject possesses or contains among the highest numbers of members or individuals of the specified type compared to others in a given context.
-
E.
associatedCountryMostProminently
chosen
Indicates the country with which an entity is most strongly or prominently associated, relative to any other countries it may be linked to.
- 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.