Triple
T37371245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilna |
E927848
|
entity |
| Predicate | countryOfLocationOfReferent |
—
|
GENERATED |
| Object | Lithuania |
—
|
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: countryOfLocationOfReferent Context triple: [Wilna, countryOfLocationOfReferent, Lithuania]
-
A.
countryOfReferent
chosen
Indicates that one entity is the country with which the referenced entity (the referent) is associated or to which it belongs.
-
B.
countryOfProposedLocation
Indicates the country in which a proposed location is situated or planned to be established.
-
C.
countryLocated
Indicates that a country is geographically situated within or associated with a specific larger region, territory, or political entity.
-
D.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
-
E.
subjectLocationCountry
Indicates that the subject is located within, or associated with, a specific country.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.