Triple
T9993326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Brazilians |
E196940
|
entity |
| Predicate | historicalPeakImmigrationPeriod |
P2791
|
FINISHED |
| Object | late 19th century |
—
|
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: late 19th century | Statement: [Italian Brazilians, historicalPeakImmigrationPeriod, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPeakImmigrationPeriod Context triple: [Italian Brazilians, historicalPeakImmigrationPeriod, late 19th century]
-
A.
majorImmigrationPeriod
chosen
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
B.
centuryOfMajorMigration
Indicates the century during which a major migration event involving the entity took place.
-
C.
yearOfMajorMigration
Indicates the specific year in which a significant migration event involving the subject took place.
-
D.
numberOfImmigrantsProcessed
Indicates the total count of immigrants that have been processed in a given context or system.
-
E.
historicalPeriodOfIntensiveSettlement
Indicates the time span during which a place experienced particularly dense or concentrated settlement activity.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb96c7308190902802ef5df764c1 |
completed | April 2, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.