Triple
T24608899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basque Mexicans |
E609061
|
entity |
| Predicate | settlementCountryOfOrigin |
P26
|
FINISHED |
| Object | Spain |
—
|
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: Spain | Statement: [Basque Mexicans, settlementCountryOfOrigin, Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settlementCountryOfOrigin Context triple: [Basque Mexicans, settlementCountryOfOrigin, Spain]
-
A.
countryOfOrigin
chosen
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
B.
settlementCountryRegion
Indicates the country or broader geographic region in which a settlement is located or administered.
-
C.
typicalSettlementCountry
Indicates the country in which an entity’s financial transactions, obligations, or trades are most commonly settled.
-
D.
associatedWorkCountryOfOrigin
Indicates that the related work originates from, or is primarily associated with, a specified country.
-
E.
countryOfExport
Indicates that one entity is the country from which another entity (such as a product, shipment, or service) is exported.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.