Triple

T223369
Position Surface form Disambiguated ID Type / Status
Subject Spanish galleon trade E4263 entity
Predicate cargoImported P2774 FINISHED
Object Chinese silk 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: Chinese silk | Statement: [Spanish galleon trade, cargoImported, Chinese silk]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cargoImported
Context triple: [Spanish galleon trade, cargoImported, Chinese silk]
  • A. mainCargo
    Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
  • B. exportedTo
    Indicates that goods, services, or resources are sent out from one entity or region to another for trade or sale.
  • C. otherExports
    Indicates that an entity exports additional goods or services beyond its primary or specifically listed export categories.
  • D. carriedBy chosen
    Indicates that one entity is physically supported and transported by another entity.
  • E. customs
    Indicates that an entity is responsible for regulating, inspecting, or processing goods and people as they cross a border for legal and tax purposes.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25dec53ac8190912f3d79576131fa completed Feb. 28, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a25b5739dc8190bad8bfa330ce0499 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.