Triple
T34894159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TASSILI AIR |
E1006382
|
entity |
| Predicate | associatedOrganizationNationality |
—
|
GENERATED |
| Object | Algerian airline |
—
|
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: associatedOrganizationNationality Context triple: [TASSILI AIR, associatedOrganizationNationality, Algerian airline]
-
A.
associatedWithNationality
chosen
Indicates that one entity has a connection or affiliation with the nationality of another entity.
-
B.
memberNationality
Indicates that an entity is the country or nationality associated with a particular member or individual.
-
C.
associatedActNationality
Indicates that an act, event, or action is connected to or characterized by a particular nationality.
-
D.
associatedCountryMostProminently
Indicates the country with which an entity is most strongly or prominently associated, relative to any other countries it may be linked to.
-
E.
countryOfParentOrganization
Indicates that an organization is located in or associated with the country where its parent organization is based.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.