Triple
T2754798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuwaiti American |
E61073
|
entity |
| Predicate | hasMigrationBackground |
P7845
|
FINISHED |
| Object | Kuwait-to-United-States migration |
—
|
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: Kuwait-to-United-States migration | Statement: [Kuwaiti American, hasMigrationBackground, Kuwait-to-United-States migration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMigrationBackground Context triple: [Kuwaiti American, hasMigrationBackground, Kuwait-to-United-States migration]
-
A.
hasMigrationHistoryFrom
chosen
Indicates that an entity has a recorded history of migrating or moving from a specified origin location or source.
-
B.
hasBackground
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
C.
associatedWithMigration
Indicates a relationship or connection between entities that is linked to, results from, or occurs in the context of migration.
-
D.
migrationCompatibilityWith
Indicates that one entity can be transitioned, upgraded, or moved to another entity or environment without incompatibilities or conflicts.
-
E.
hadCheckpoint
Indicates that an entity passed through, reached, or was associated with a specific checkpoint at some point in time.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb7073d081909da84b21015972f2 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.