Triple
T6192957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teresa Heinz |
E138439
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Portuguese-American |
C19403
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Portuguese-American Context triple: [Teresa Heinz, instanceOf, Portuguese-American]
-
A.
Portuguese-speaking country
A Portuguese-speaking country is a sovereign state where Portuguese is an official language and is widely used in government, education, and daily communication.
-
B.
Portuguese-based creole
A Portuguese-based creole is a stable, fully developed language that arose from prolonged contact between Portuguese and one or more other languages, incorporating Portuguese-derived vocabulary within a distinct grammatical and phonological system.
-
C.
variety of Portuguese
A variety of Portuguese is a distinct form of the Portuguese language characterized by specific phonological, lexical, syntactic, and pragmatic features associated with a particular geographic region, social group, or communicative context.
-
D.
Portuguese-language surname
A Portuguese-language surname is a family name originating from Portuguese linguistic and cultural traditions, typically used to identify lineage, heritage, or geographic roots within Portuguese-speaking communities.
-
E.
language of Portugal
The language of Portugal is European Portuguese, a Romance language derived from Latin and characterized by its distinct phonology, vocabulary, and grammar within the Lusophone world.
- F. None of above. chosen
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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
Created at: March 22, 2026, 4:19 p.m.