Triple

T19644459
Position Surface form Disambiguated ID Type / Status
Subject CARAS Board of Directors E471635 entity
Predicate shortName P43 FINISHED
Object CARAS Board 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: CARAS Board | Statement: [CARAS Board of Directors, shortName, CARAS Board]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CARAS Board
Context triple: [CARAS Board of Directors, shortName, CARAS Board]
  • A. CARAS Board of Directors chosen
    The CARAS Board of Directors is the leadership body of the Canadian Academy of Recording Arts and Sciences, overseeing major initiatives in Canada’s music industry, including the Juno Awards.
  • B. CAROSAI
    CAROSAI is the regional organization of supreme audit institutions for the Caribbean, promoting public sector auditing standards, cooperation, and capacity building among its member countries.
  • C. CARA
    CARA is the acronym for the California Association for Research in Astronomy, an organization involved in managing and supporting astronomical research facilities in California.
  • D. CARICAD
    CARICAD is a regional organization that supports public sector modernization and administrative development across Caribbean countries.
  • E. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6412452d481908b6946cad3c411d5 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.