Triple

T8016596
Position Surface form Disambiguated ID Type / Status
Subject Kazan International Airport E186632 entity
Predicate ICAOcode P419 FINISHED
Object UWKD
UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
 E707604 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: UWKD | Statement: [Kazan International Airport, ICAOcode, UWKD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UWKD
Context triple: [Kazan International Airport, ICAOcode, UWKD]
  • A. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • B. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • C. WKO
    WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
  • D. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • E. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • 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: UWKD
Triple: [Kazan International Airport, ICAOcode, UWKD]
Generated description
UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UWKD
Target entity description: UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
  • A. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • B. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • C. WKO
    WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
  • D. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • E. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df37a00819088780e5461bc5b41 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56ba88b88190ad279d79d7f0ffd7 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58a9e94081908980e2c60be38642 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbaefb481909eb325f0d27675c0 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:20 p.m.