Triple
T34658917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barquinha |
E890053
|
entity |
| Predicate | primaryLanguageOfPractice |
—
|
GENERATED |
| Object | Portuguese |
—
|
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: primaryLanguageOfPractice Context triple: [Barquinha, primaryLanguageOfPractice, Portuguese]
-
A.
hasLanguageOfPractice
chosen
Indicates that an entity uses or operates in a particular language as its regular or primary medium of practice.
-
B.
primaryLanguageSpecialization
Indicates the main language in which an entity has specialized knowledge, focus, or expertise.
-
C.
primaryLanguageOf
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
D.
primaryLanguageRegulated
Indicates that an authority or governing body sets rules or standards for the primary language used in a given context or domain.
-
E.
primaryLanguageIn
Indicates that a specified language is the main or official language used within a particular place, organization, or 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:04 a.m.