Triple
T19104563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian diaspora |
E467619
|
entity |
| Predicate | hasReasonForMigration |
P134391
|
FINISHED |
| Object | economic opportunity |
—
|
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: economic opportunity | Statement: [Brazilian diaspora, hasReasonForMigration, economic opportunity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReasonForMigration Context triple: [Brazilian diaspora, hasReasonForMigration, economic opportunity]
-
A.
supportsMigrationOf
Indicates that one entity enables, facilitates, or is compatible with the migration or transfer of another entity from one environment, system, or context to another.
-
B.
hasMigrationIssue
Indicates that an entity experiences a problem, error, or complication during a migration process from one system, environment, or version to another.
-
C.
enabledMigrationOf
Indicates that one entity made it possible for another entity to move, transfer, or transition from one state, location, or system to another.
-
D.
hasMigrationTo
Indicates a directed movement or transfer from one place, system, or state to another.
-
E.
hasMigrationHistoryFrom
Indicates that an entity has a recorded history of migrating or moving from a specified origin location or source.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3704c688190b84ef82da45d0862 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.