Triple

T8099522
Position Surface form Disambiguated ID Type / Status
Subject Voronezh Peter the Great Airport E189071 entity
Predicate IATAcode P418 FINISHED
Object VOZ
VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
 E711420 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: VOZ | Statement: [Voronezh Peter the Great Airport, IATAcode, VOZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VOZ
Context triple: [Voronezh Peter the Great Airport, IATAcode, VOZ]
  • A. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • B. Vocia
    Vocia is Biamp Systems’ networked paging and voice evacuation platform designed for scalable, distributed audio communication in commercial and public facilities.
  • C. voco
    voco is a contemporary upscale hotel brand within the InterContinental Hotels Group portfolio, known for its relaxed style and locally inspired guest experiences.
  • D. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • E. VOW
    VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
  • 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: VOZ
Triple: [Voronezh Peter the Great Airport, IATAcode, VOZ]
Generated description
VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VOZ
Target entity description: VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
  • A. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • B. Vocia
    Vocia is Biamp Systems’ networked paging and voice evacuation platform designed for scalable, distributed audio communication in commercial and public facilities.
  • C. voco
    voco is a contemporary upscale hotel brand within the InterContinental Hotels Group portfolio, known for its relaxed style and locally inspired guest experiences.
  • D. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • E. VOW
    VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42961ad4819085d023427fc5ac5f completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc641d96e88190adee974b79d5fc05 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc68d9032c8190af6c5ff64fe46aff completed April 1, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cc69f6bb308190a95df95d1a67cfec completed April 1, 2026, 12:42 a.m.
Created at: March 30, 2026, 5:31 p.m.