Triple

T16185550
Position Surface form Disambiguated ID Type / Status
Subject CVM E392790 entity
Predicate abbreviation P43 FINISHED
Object CVM E392790 NE FINISHED

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: CVM | Statement: [CVM, abbreviation, CVM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CVM
Context triple: [CVM, abbreviation, CVM]
  • A. CVM chosen
    CVM is the U.S. Food and Drug Administration’s Center for Veterinary Medicine, which regulates the safety and effectiveness of animal drugs and medicated feeds.
  • B. CVM
    CVM is the IATA airport code for General Pedro J. Méndez International Airport serving Ciudad Victoria in the state of Tamaulipas, Mexico.
  • C. CvA
    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.
  • D. CVA
    CVA is the commonly used abbreviation for the World Trade Organization’s Customs Valuation Agreement, which sets international rules for determining the customs value of imported goods.
  • E. CVK
    CVK is a major campus of Charité – Universitätsmedizin Berlin, housing extensive clinical and research facilities in the Wedding district of Berlin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22060dcf88190b7c662946a5f0191 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0550b48190ac84946b7254552b completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.