Triple
T28683068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NXST |
E726057
|
entity |
| Predicate | associatedWithHeadquartersCountry |
—
|
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: associatedWithHeadquartersCountry Context triple: [NXST, associatedWithHeadquartersCountry, United States]
-
A.
associatedWithCompanyHeadquarters
Indicates that an entity has a relationship or connection to the headquarters location of a specific company.
-
B.
hasParentInstitutionHeadquartersIn
Indicates that the headquarters of an entity’s parent institution is located in a specified place.
-
C.
organizationHeadquarteredInCountry
chosen
Indicates that an organization’s main headquarters or principal place of business is located within a specified country.
-
D.
hasOperatorHeadquartersIn
Indicates that the primary operational headquarters of an operator is located in a specified place.
-
E.
isHeadOfficeOf
Indicates that one entity serves as the main or central administrative office for another entity, typically overseeing its operations or branches.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 28, 2026, 5:10 a.m.