Triple
T29577253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European migrant crisis |
E753475
|
entity |
| Predicate | mainDestinationCountry |
P88325
|
FINISHED |
| Object | Germany |
—
|
NE NERFINISHED |
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: Germany | Statement: [European migrant crisis, mainDestinationCountry, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDestinationCountry Context triple: [European migrant crisis, mainDestinationCountry, Germany]
-
A.
primaryDomesticDestination
Indicates that one location is the main or most significant destination within the same country for travel, transport, or activity originating from another location.
-
B.
hasMajorDestinationCountry
chosen
Indicates that an entity has a primary or most significant destination country associated with its movement, export, or flow.
-
C.
mainDeportationDestination
Indicates the primary location to which individuals are deported in a given deportation event or process.
-
D.
territoryOfDestination
Indicates that a specified territory is the destination or endpoint location associated with an action, movement, or relation.
-
E.
primaryRouteCountry
Indicates the country that serves as the main or principal route location associated with the subject.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d4b7f848190b6af93ae829a5caa |
completed | May 2, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:04 p.m.