Triple

T18241917
Position Surface form Disambiguated ID Type / Status
Subject Vila do Corvo E436835 entity
Predicate hasAirportIATACode P2569 FINISHED
Object CVU
CVU is the IATA airport code for Corvo Airport, which serves the island of Corvo in Portugal’s Azores archipelago.
E1314028 NE FINISHED

How this triple was built (4 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: CVU | Statement: [Vila do Corvo, hasAirportIATACode, CVU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CVU
Context triple: [Vila do Corvo, hasAirportIATACode, CVU]
  • A. CV1
    CV1 is the first consumer version of the Oculus Rift virtual reality headset, marking Oculus’s initial mass-market VR hardware release.
  • B. CVQ
    CVQ stands for Caribbean Vocational Qualification, a regional certification that recognizes occupational skills and competencies across Caribbean Community (CARICOM) member states.
  • C. VCU
    VCU is the commonly used abbreviation for Virginia Commonwealth University, a large public research university located in Richmond, Virginia.
  • D. CVM
    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.
  • E. CVM
    CVM is the IATA airport code for General Pedro J. Méndez International Airport serving Ciudad Victoria in the state of Tamaulipas, Mexico.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CVU
Triple: [Vila do Corvo, hasAirportIATACode, CVU]
Generated description
CVU is the IATA airport code for Corvo Airport, which serves the island of Corvo in Portugal’s Azores archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CVU
Target entity description: CVU is the IATA airport code for Corvo Airport, which serves the island of Corvo in Portugal’s Azores archipelago.
  • A. CV1
    CV1 is the first consumer version of the Oculus Rift virtual reality headset, marking Oculus’s initial mass-market VR hardware release.
  • B. CVQ
    CVQ stands for Caribbean Vocational Qualification, a regional certification that recognizes occupational skills and competencies across Caribbean Community (CARICOM) member states.
  • C. VCU
    VCU is the commonly used abbreviation for Virginia Commonwealth University, a large public research university located in Richmond, Virginia.
  • D. CVM
    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.
  • E. CVM
    CVM is the IATA airport code for General Pedro J. Méndez International Airport serving Ciudad Victoria in the state of Tamaulipas, Mexico.
  • F. None of above. chosen

Provenance (5 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e387f481909d72574fb7d17923 completed April 19, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac7124f88190bfc0064e00946586 completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad3be75c819080f57a24747ec55f completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03aede6ea481908bb9acdb2ff17e9a completed May 12, 2026, 10:51 p.m.
Created at: April 10, 2026, 10:33 a.m.