Triple
T35443791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sena language |
E1024425
|
entity |
| Predicate | countryStatusInMozambique |
—
|
GENERATED |
| Object | recognized language |
—
|
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: countryStatusInMozambique Context triple: [Sena language, countryStatusInMozambique, recognized language]
-
A.
statusInMozambique
chosen
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Mozambique.
-
B.
regionWithinMozambique
Indicates that one region is geographically located within the national boundaries of Mozambique.
-
C.
countryStatusInZimbabwe
Indicates the legal or diplomatic status that an entity holds within or in relation to Zimbabwe.
-
D.
statusInZambia
Indicates the legal, social, or official standing or condition that something or someone has within the context of Zambia.
-
E.
statusInTanzania
Indicates the legal, social, or operational standing or condition that an entity has within the context of Tanzania.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.