Triple

T19944346
Position Surface form Disambiguated ID Type / Status
Subject International Broadcasting Bureau E479383 entity
Predicate hasAcronym P43 FINISHED
Object IBB NE NERFINISHED

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: IBB | Statement: [International Broadcasting Bureau, hasAcronym, IBB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBB
Context triple: [International Broadcasting Bureau, hasAcronym, IBB]
  • A. IBB
    IBB is the ICAO airline designator for Binter Canarias, a regional carrier based in the Canary Islands, Spain.
  • B. IBB
    IBB is the widely used nickname of Ibrahim Badamasi Babangida, a former Nigerian military ruler who led the country from 1985 to 1993.
  • C. IBB chosen
    IBB is the acronym for the International Broadcasting Bureau, the U.S. government agency that managed and supported international broadcasting services like Voice of America.
  • D. IBBU
    IBBU is a Nigerian public university located in Lapai, Niger State, named after former military president Ibrahim Badamasi Babangida.
  • E. iBBA
    The iBBA is an international-focused Bachelor of Business Administration program offered by the Schulich School of Business that emphasizes global business education and cross-cultural experience.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a64b2788190a49c4ed40aa93b98 completed April 20, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:54 p.m.