Triple

T21996892
Position Surface form Disambiguated ID Type / Status
Subject INTOSAI E543228 entity
Predicate hasRegionalOrganization P2785 FINISHED
Object CAROSAI 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: CAROSAI | Statement: [INTOSAI, hasRegionalOrganization, CAROSAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAROSAI
Context triple: [INTOSAI, hasRegionalOrganization, CAROSAI]
  • A. CAROSAI chosen
    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.
  • B. Carrosio
    Carrosio is a small municipality in the Liguria region of northwestern Italy, known for its rural landscape and proximity to the Apennine hills.
  • C. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • D. Carosino
    Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
  • E. Carr
    Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12765fb0c81908f7b7acda065ee2f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.