Triple
T38697680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Argentines |
E950047
|
entity |
| Predicate | immigrationOriginRegion |
P131659
|
FINISHED |
| Object | Canton of Valais |
—
|
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: Canton of Valais | Statement: [Swiss Argentines, immigrationOriginRegion, Canton of Valais]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrationOriginRegion Context triple: [Swiss Argentines, immigrationOriginRegion, Canton of Valais]
-
A.
countryOfOriginForImmigration
Indicates the country from which a person or group has emigrated when moving to another country.
-
B.
immigratesFrom
Indicates that an entity moves to live in a new country or region, originating from the specified source country or region.
-
C.
immigrationDestinationFor
Indicates that a location serves as the destination to which an entity immigrates.
-
D.
originalRefugeeOrigin
Indicates the place or country from which a refugee initially fled or was displaced.
-
E.
regionOfMigration
chosen
Indicates the geographic area from which an entity or population moves or migrates.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.