Triple

T6740829
Position Surface form Disambiguated ID Type / Status
Subject Aviva E154074 entity
Predicate tickerSymbol P1447 FINISHED
Object AV.
AV. is the stock ticker symbol for Aviva plc, a major British multinational insurance, savings, and retirement services company listed on the London Stock Exchange.
 E615342 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: AV. | Statement: [Aviva, tickerSymbol, AV.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AV.
Context triple: [Aviva, tickerSymbol, AV.]
  • A. 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.
  • B. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • C. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • D. AVP
    AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
  • E. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • 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: AV.
Triple: [Aviva, tickerSymbol, AV.]
Generated description
AV. is the stock ticker symbol for Aviva plc, a major British multinational insurance, savings, and retirement services company listed on the London Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AV.
Target entity description: AV. is the stock ticker symbol for Aviva plc, a major British multinational insurance, savings, and retirement services company listed on the London Stock Exchange.
  • A. 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.
  • B. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • C. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • D. AVP
    AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
  • E. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18971e081908372cd25d52a11bd completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0fb79c8190ae9871b7b2d9d733 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c4111848190906b0e43cf4ae325 completed March 27, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69c70cbb8644819091a8a9c061dfd605 completed March 27, 2026, 11:03 p.m.
Created at: March 27, 2026, 2:10 p.m.