Triple
T31505470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese real |
E803805
|
entity |
| Predicate | pluralNameInPortuguese |
P5088
|
FINISHED |
| Object | réis |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: réis | Statement: [Portuguese real, pluralNameInPortuguese, réis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pluralNameInPortuguese Context triple: [Portuguese real, pluralNameInPortuguese, réis]
-
A.
pluralMasculineForm
Indicates that the referenced term is expressed in its plural form specifically for masculine grammatical gender.
-
B.
nounFormOf
Indicates that one term is the noun form derived from, or corresponding to, another term (typically a verb or adjective).
-
C.
genderedPluralForm
Indicates that the plural form of a term is specifically marked or inflected to reflect a particular gender.
-
D.
hasPluralForm
chosen
Indicates that one term is the plural grammatical form of another term.
-
E.
nameInPortuguese
Indicates that an entity is referred to by a specific name when expressed in the Portuguese language.
- F. None of above.
Provenance (3 batches)
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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a217220881908f89eac16e4e545b |
completed | May 3, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:47 p.m.