Triple

T18185477
Position Surface form Disambiguated ID Type / Status
Subject bolívar venezolano E435400 entity
Predicate previousISO4217Code P11592 FINISHED
Object VEF 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: VEF | Statement: [bolívar venezolano, previousISO4217Code, VEF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VEF
Context triple: [bolívar venezolano, previousISO4217Code, VEF]
  • A. VEF chosen
    VEF was the ISO 4217 currency code for the Venezuelan bolívar used before its redenomination to the bolívar soberano.
  • B. VE
    VE is the Italian vehicle registration code assigned to the Metropolitan City of Venice.
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VFA
    VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
  • E. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffdccd881908da772db78b9d081 completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.