Triple

T969603
Position Surface form Disambiguated ID Type / Status
Subject Office of Cuba Broadcasting E20915 entity
Predicate regulatesEditorialStandards P8779 FINISHED
Object TV Martí E114961 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: TV Martí | Statement: [Office of Cuba Broadcasting, regulatesEditorialStandards, TV Martí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV Martí
Context triple: [Office of Cuba Broadcasting, regulatesEditorialStandards, TV Martí]
  • A. TV Martí chosen
    TV Martí is a U.S. government-funded television service that broadcasts news and information to audiences in Cuba, aiming to promote freedom of information and democracy.
  • B. Joaquín Toesca
    Joaquín Toesca was an 18th-century Italian-born architect who became a key figure in Chilean neoclassical architecture.
  • C. Castro
    Castro is a historic coastal city on Chiloé Island in southern Chile, known for its colorful stilt houses (palafitos) and UNESCO-listed wooden churches.
  • D. Martínez
    Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
  • E. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b75103688190a14342eef3842984 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cd9705c8190adf1fb72188cc84e completed March 7, 2026, 12:40 p.m.
Created at: March 1, 2026, 7:40 p.m.