Triple
T37777636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Sao_Paulo |
E941730
|
entity |
| Predicate | languageCommonlyAssociated |
—
|
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: languageCommonlyAssociated Context triple: [America/Sao_Paulo, languageCommonlyAssociated, Portuguese]
-
A.
languageCommonlyCalled
Indicates that one language is commonly referred to or known by a particular alternative name or label.
-
B.
linguisticallyRelatedTo
Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
-
C.
languageRefersTo
Indicates that a language is used to denote, describe, or refer to a particular entity, concept, or subject.
-
D.
languageAssociation
chosen
Indicates an association or relationship between entities based on a language they use, represent, or are linked to.
-
E.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.