Triple
T8820467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hispanic diaspora |
E209890
|
entity |
| Predicate | hasMigrationDriver |
P84803
|
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: [Hispanic diaspora, hasMigrationDriver, economic opportunity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMigrationDriver Context triple: [Hispanic diaspora, hasMigrationDriver, economic opportunity]
-
A.
hasMigrationHistoryFrom
Indicates that an entity has a recorded history of migrating or moving from a specified origin location or source.
-
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.
hasDatabase
Indicates that an entity possesses, uses, or is associated with a specific database.
-
D.
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.
-
E.
isOnFlyway
Indicates that something is currently located on or aligned with a designated flyway, such as a migration or flight path.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600fbbac8190ad36d93fff60a33f |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:46 p.m.