Triple

T20847716
Position Surface form Disambiguated ID Type / Status
Subject Conservatorium van Amsterdam E513271 entity
Predicate abbreviation P43 FINISHED
Object CvA 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: CvA | Statement: [Conservatorium van Amsterdam, abbreviation, CvA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CvA
Context triple: [Conservatorium van Amsterdam, abbreviation, CvA]
  • A. CvA chosen
    CvA is the abbreviation for the Conservatorium van Amsterdam, a major music conservatory in the Netherlands known for its comprehensive music education and performance programs.
  • B. CAVAD
    CAVAD is the College of Architecture, Visual Arts and Design, an academic unit focused on creative and built-environment disciplines.
  • C. CV1
    CV1 is the first consumer version of the Oculus Rift virtual reality headset, marking Oculus’s initial mass-market VR hardware release.
  • D. CAV
    CAV is the ICAO airline designator assigned to Calm Air, a regional airline based in Canada.
  • E. CAV
    CAV (Computer Aided Verification) is a leading international conference focused on the theory and practice of computer-aided formal methods for the verification and analysis of hardware and software systems.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c351300c8190a4ec2eb430f0c23d completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.