Triple
T6779636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nao de China route |
E155646
|
entity |
| Predicate | carriedFromAmericas |
P33653
|
FINISHED |
| Object | silver from New Spain |
—
|
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: silver from New Spain | Statement: [Nao de China route, carriedFromAmericas, silver from New Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedFromAmericas Context triple: [Nao de China route, carriedFromAmericas, silver from New Spain]
-
A.
introducedFromAmericasToOldWorld
Indicates that something originally from the Americas was brought and established in the Old World (Europe, Asia, or Africa) after trans-Atlantic contact.
-
B.
introducedFromOldWorldToAmericas
Indicates that something was brought or transferred from the Old World (Europe, Africa, or Asia) to the Americas for the first time.
-
C.
cameToAmericaAs
Indicates that one entity migrated or traveled to America in the role, capacity, or status specified by the other entity.
-
D.
continentalPortion
Indicates that one entity represents the part or portion of a continent to which the other entity belongs or is associated.
-
E.
carriedTo
chosen
Indicates that one entity transported or conveyed another entity from one place to another.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26a1634819099b8a3b3196a306a |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.