Triple

T2127618
Position Surface form Disambiguated ID Type / Status
Subject Turkish Americans E46460 entity
Predicate transnationalTie P32557 FINISHED
Object remittancesToTurkey 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: remittancesToTurkey | Statement: [Turkish Americans, transnationalTie, remittancesToTurkey]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transnationalTie
Context triple: [Turkish Americans, transnationalTie, remittancesToTurkey]
  • A. maintainsTransnationalTies chosen
    Indicates that an entity sustains ongoing social, economic, political, or cultural connections that span across national borders.
  • B. transboundaryContext
    Indicates a context, situation, or effect that crosses or involves the boundaries between two or more distinct jurisdictions, regions, or territories.
  • C. isBinational
    Indicates that an entity is associated with or recognized by two distinct nations, such as holding dual nationality or operating under the authority of two countries.
  • D. isLinkedEconomicallyTo
    Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
  • E. betweenCountry
    Indicates a relationship or interaction that involves or occurs among two or more countries.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb75033881909b16659fc73945ef completed March 7, 2026, 5:45 a.m.
PD Predicate disambiguation batch_69abb7bd86cc8190938ef06c1ed6d969 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:44 p.m.