Triple

T12761113
Position Surface form Disambiguated ID Type / Status
Subject Cuban convertible peso E304996 entity
Predicate ISO4217Code P189 FINISHED
Object CUC E683027 NE 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: CUC | Statement: [Cuban convertible peso, ISO4217Code, CUC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CUC
Context triple: [Cuban convertible peso, ISO4217Code, CUC]
  • A. CUC chosen
    CUC is the national organization representing Unitarian and Unitarian Universalist congregations across Canada, providing support, resources, and coordination for their religious and social justice activities.
  • B. CUCS
    CUCS is a health sciences university center of the University of Guadalajara in Mexico, focused on education and research in medical and related disciplines.
  • C. CUCSH
    CUCSH is a university center in Mexico focused on social sciences and humanities education and research.
  • D. UCA
    UCA is a Spanish public university based in Cádiz, known for its programs in marine sciences, engineering, and humanities.
  • E. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8e44188190840cd23d380bf23d completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f08fac8190b8c480619696bcd1 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.