Triple

T19587314
Position Surface form Disambiguated ID Type / Status
Subject Zvartnots International Airport E470136 entity
Predicate ICAOcode P419 FINISHED
Object UDYZ
UDYZ is the ICAO airport code for Zvartnots International Airport, the main international gateway serving Yerevan, Armenia.
E1385582 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: UDYZ | Statement: [Zvartnots International Airport, ICAOcode, UDYZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UDYZ
Context triple: [Zvartnots International Airport, ICAOcode, UDYZ]
  • A. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • B. YUD
    YUD is a former record label that was succeeded by RSD in the music industry.
  • C. UDZ
    UDZ is the station code for Udaipur City railway station, a major rail hub serving the city of Udaipur in Rajasthan, India.
  • D. UTY
    UTY is the ICAO airline designator assigned to Alliance Airlines, an Australian regional and charter carrier.
  • E. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • 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: UDYZ
Triple: [Zvartnots International Airport, ICAOcode, UDYZ]
Generated description
UDYZ is the ICAO airport code for Zvartnots International Airport, the main international gateway serving Yerevan, Armenia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UDYZ
Target entity description: UDYZ is the ICAO airport code for Zvartnots International Airport, the main international gateway serving Yerevan, Armenia.
  • A. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • B. YUD
    YUD is a former record label that was succeeded by RSD in the music industry.
  • C. UDZ
    UDZ is the station code for Udaipur City railway station, a major rail hub serving the city of Udaipur in Rajasthan, India.
  • D. UTY
    UTY is the ICAO airline designator assigned to Alliance Airlines, an Australian regional and charter carrier.
  • E. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640523d10819091320a61456f6437 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f12fe008190bf2aaf7c63c44467 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a0760583b588190b8f648acc26bc1ae completed May 15, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a0761223cc081908e08a33eda54d222 completed May 15, 2026, 6:08 p.m.
Created at: April 10, 2026, 1:43 p.m.