Triple

T473859
Position Surface form Disambiguated ID Type / Status
Subject Vnukovo International Airport E9017 entity
Predicate ICAOcode P419 FINISHED
Object UUWW
UUWW is the ICAO airport code assigned to Vnukovo International Airport in Moscow, Russia.
E59052 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: UUWW | Statement: [Vnukovo International Airport, ICAOcode, UUWW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UUWW
Context triple: [Vnukovo International Airport, ICAOcode, UUWW]
  • A. WW
    WW is the commonly used abbreviation for Woodsworth College, a constituent college of the University of Toronto known for its diverse student body and focus on continuing and part-time education.
  • B. UUDD
    UUDD is the ICAO airport code for Moscow’s Domodedovo International Airport, one of Russia’s major aviation hubs.
  • C. WUH
    WUH is the IATA airport code for Wuhan Tianhe International Airport, the main air gateway serving Wuhan in central China.
  • D. UUEE
    UUEE is the ICAO airport code for Sheremetyevo International Airport, one of Moscow’s primary international air hubs in Russia.
  • E. AAWU
    AAWU, short for the Athletic Association of Western Universities, was a former NCAA athletic conference that served as a predecessor to today’s Pac-12 Conference.
  • 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: UUWW
Triple: [Vnukovo International Airport, ICAOcode, UUWW]
Generated description
UUWW is the ICAO airport code assigned to Vnukovo International Airport in Moscow, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UUWW
Target entity description: UUWW is the ICAO airport code assigned to Vnukovo International Airport in Moscow, Russia.
  • A. WW
    WW is the commonly used abbreviation for Woodsworth College, a constituent college of the University of Toronto known for its diverse student body and focus on continuing and part-time education.
  • B. UUDD
    UUDD is the ICAO airport code for Moscow’s Domodedovo International Airport, one of Russia’s major aviation hubs.
  • C. WUH
    WUH is the IATA airport code for Wuhan Tianhe International Airport, the main air gateway serving Wuhan in central China.
  • D. UUEE
    UUEE is the ICAO airport code for Sheremetyevo International Airport, one of Moscow’s primary international air hubs in Russia.
  • E. AAWU
    AAWU, short for the Athletic Association of Western Universities, was a former NCAA athletic conference that served as a predecessor to today’s Pac-12 Conference.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0208c788190a96cdabcf593fda7 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a462fd1768819098ab8e2d7aff050e completed March 1, 2026, 4:02 p.m.
NEDg Description generation batch_69a463be99dc8190937bd91b3246396c completed March 1, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69a4645b91e081908469658c73ca0ee2 completed March 1, 2026, 4:07 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.