Triple

T4893876
Position Surface form Disambiguated ID Type / Status
Subject International Broadcasting Bureau E109626 entity
Predicate providesServiceTo P82 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: [International Broadcasting Bureau, providesServiceTo, TV Martí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV Martí
Context triple: [International Broadcasting Bureau, providesServiceTo, 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. Cayetano
    Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
  • C. Totó
    Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • D. Paco Yunque
    Paco Yunque is a short story by Peruvian writer César Vallejo that portrays social injustice and class oppression through the experiences of a poor schoolboy.
  • E. Toño
    Toño is a common Spanish diminutive form of the given name Antonio, often used as an affectionate nickname.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e26b6808190a84e3e8466f2b4e9 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc2f00881908cae1e68df2019e3 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.