Triple
T6123834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady Aparecida |
E136546
|
entity |
| Predicate | yearDeclaredPatronSaintOfBrazil |
P68275
|
FINISHED |
| Object | 1930 |
—
|
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: 1930 | Statement: [Our Lady Aparecida, yearDeclaredPatronSaintOfBrazil, 1930]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearDeclaredPatronSaintOfBrazil Context triple: [Our Lady Aparecida, yearDeclaredPatronSaintOfBrazil, 1930]
-
A.
nationalPatronSaint
Indicates that one entity is recognized as the official patron saint of a particular nation.
-
B.
hasPatronSaint
Indicates that one entity serves as the patron saint associated with, protecting, or representing another entity.
-
C.
feastDayObservedOn
Indicates that a particular feast day is celebrated or formally observed on a specified calendar date.
-
D.
canonizationDate
Indicates the date on which an individual was officially declared a saint (canonized) by a religious authority.
-
E.
mainlyCelebratedBy
Indicates that an event, tradition, or occasion is primarily observed or celebrated by a particular group or category of people.
- F. None of above. chosen
Provenance (4 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c25976081909e0a40e07dff0b8a |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:14 p.m.