Triple
T32512737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mister Donut |
E830979
|
entity |
| Predicate | originalHeadquartersCountry |
—
|
GENERATED |
| Object | United States |
—
|
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: originalHeadquartersCountry Context triple: [Mister Donut, originalHeadquartersCountry, United States]
-
A.
formerHeadquartersCountry
Indicates the country in which an entity’s headquarters used to be located before being moved or closed.
-
B.
parentCountryOfOrigin
Indicates that one country is the original source or homeland from which another country historically emerged or originated.
-
C.
formerCountryOfOrigin
Indicates that an entity was previously the country from which another entity originated, but is no longer its current country of origin.
-
D.
originalLocationCountry
chosen
Indicates the country where an entity was originally located or from which it initially originated.
-
E.
historicalOriginCountry
Indicates the country from which something originally came or first emerged in a historical context.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 1 a.m.