Triple

T6749595
Position Surface form Disambiguated ID Type / Status
Subject Avignon – Provence Airport E154308 entity
Predicate IATAcode P418 FINISHED
Object AVN
AVN is the IATA airport code for Avignon – Provence Airport in southeastern France.
 E615842 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: AVN | Statement: [Avignon – Provence Airport, IATAcode, AVN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AVN
Context triple: [Avignon – Provence Airport, IATAcode, AVN]
  • A. AAAvn
    AAAvn is the abbreviation for the Australian Army Aviation Corps, the branch of the Australian Army responsible for its military aviation capabilities.
  • B. AV
    AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
  • C. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • D. AVP
    AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
  • E. Pickelporno
    Pickelporno is an experimental short film by Swiss artist Pipilotti Rist, known for its sensual, surreal imagery and exploration of the female body and desire through a highly subjective camera perspective.
  • 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: AVN
Triple: [Avignon – Provence Airport, IATAcode, AVN]
Generated description
AVN is the IATA airport code for Avignon – Provence Airport in southeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AVN
Target entity description: AVN is the IATA airport code for Avignon – Provence Airport in southeastern France.
  • A. AAAvn
    AAAvn is the abbreviation for the Australian Army Aviation Corps, the branch of the Australian Army responsible for its military aviation capabilities.
  • B. AV
    AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
  • C. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • D. AVP
    AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
  • E. Pickelporno
    Pickelporno is an experimental short film by Swiss artist Pipilotti Rist, known for its sensual, surreal imagery and exploration of the female body and desire through a highly subjective camera perspective.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1d8bfa48190a7fc48102258ae17 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b180f188190b380909c46fbce40 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c334a90819084bb0b25bbc112cc completed March 27, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69c70d0fcbc08190b3a7d0de3c634a5f completed March 27, 2026, 11:04 p.m.
Created at: March 27, 2026, 2:11 p.m.