Triple
T3154998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauro Fiore |
E65962
|
entity |
| Predicate | immigration |
P11122
|
FINISHED |
| Object | emigrated from Italy to the United States |
—
|
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: emigrated from Italy to the United States | Statement: [Mauro Fiore, immigration, emigrated from Italy to the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigration Context triple: [Mauro Fiore, immigration, emigrated from Italy to the United States]
-
A.
immigrationBackground
chosen
Indicates that an entity has a personal or familial history of migration from another country or region.
-
B.
immigrationType
Indicates the specific category or classification of an individual’s immigration status or entry into a country.
-
C.
restrictedImmigrantsFrom
Indicates that one entity imposed limitations or prohibitions on immigrants originating from another entity.
-
D.
immigrationPolicyFocus
Indicates a relationship where an immigration policy is primarily directed toward or emphasizes a particular issue, group, or aspect of immigration.
-
E.
separateImmigrationSystemFrom
Indicates that one entity establishes or maintains a distinct immigration system that is independent from another entity’s immigration system.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5e7f4688190b477186254f8a572 |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.