Triple
T12014937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian diaspora |
E285999
|
entity |
| Predicate | hasMigrationDrivers |
P84803
|
FINISHED |
| Object | economic opportunities abroad |
—
|
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 opportunities abroad | Statement: [Egyptian diaspora, hasMigrationDrivers, economic opportunities abroad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMigrationDrivers Context triple: [Egyptian diaspora, hasMigrationDrivers, economic opportunities abroad]
-
A.
hasMigrationDriver
chosen
Indicates that one factor or condition serves as a driving cause or motivation for a migration event or process.
-
B.
hasMigrationHistoryFrom
Indicates that an entity has a recorded history of migrating or moving from a specified origin location or source.
-
C.
hasMigrationAspect
Indicates that something possesses a characteristic, feature, or dimension specifically related to migration or migratory behavior.
-
D.
hasMigrationDimension
Indicates that there exists a relevant aspect or factor of migration associated with the subject in relation to the object.
-
E.
hasMigrationIssue
Indicates that an entity experiences a problem, error, or complication during a migration process from one system, environment, or version to another.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.