Triple
T2633466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paulistano |
E59687
|
entity |
| Predicate | immigrationHistory |
P11122
|
FINISHED |
| Object | influenced by Italian immigration |
—
|
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: influenced by Italian immigration | Statement: [Paulistano, immigrationHistory, influenced by Italian immigration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrationHistory Context triple: [Paulistano, immigrationHistory, influenced by Italian immigration]
-
A.
immigrationBackground
chosen
Indicates that an entity has a personal or familial history of migration from another country or region.
-
B.
majorImmigrationPeriod
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
C.
immigrationType
Indicates the specific category or classification of an individual’s immigration status or entry into a country.
-
D.
historicalMigrationType
Indicates the type or category of migration that occurred in a historical context between entities.
-
E.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.