Triple
T2730821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi Arabian American |
E60307
|
entity |
| Predicate | typicalMigrationMotives |
P3057
|
FINISHED |
| Object | education |
—
|
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: education | Statement: [Saudi Arabian American, typicalMigrationMotives, education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMigrationMotives Context triple: [Saudi Arabian American, typicalMigrationMotives, education]
-
A.
reasonForRelocation
chosen
Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
-
B.
typicalMigrationStatus
Indicates the usual or characteristic migration state or pattern associated with an entity.
-
C.
movedDomicileFromCountry
Indicates that an entity changed its place of residence from one specified country to another location.
-
D.
attractedImmigrantsFrom
Indicates that a place or entity drew or pulled immigrants originating from another place.
-
E.
historicalMigrationType
Indicates the type or category of migration that occurred in a historical context between entities.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaee29088190bc4c734e48995794 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.